Data Engineer

Amazon

Ex: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or 4+ years industry experience

Full Time

Bangalore,India

DESCRIPTION Job summary In this role as a Data Engineer, you will lead the design and implementation of a large-scale, low latency, end to end platform which will serve reporting (near real-time as well as historical) and predictive analytics needs of the Worldwide Consumer HR org. You will partner with scientists, analysts, engineers and senior leaders to deliver scientific solutions that improve employee experience across Amazon. Key job responsibilities In this role, you will lead the design of an end to end platform which will serve the historical reporting, real-time reporting and predictive analytics needs of the Worldwide Operations HR org. You should be well-versed in multiple DW, reporting and visualization platforms. You will have hands on experience with fast-growing and evolving datasets of large scale. You will understand the challenges of scaling analytical platforms globally, keeping the data security and regulations in mind. You will build scalable systems and solutions. A day in the life The Data Engineer for this role will collaborate with stakeholders on Org Research & Measurement science and engineering teams to build ML platforms, data ingestion processes and service integrations. You will design and implement scalable and efficient ETL extract/load strategies using AWS tools in development and production environments. The Data Engineer will develop code to acquire/transform datasets for machine learning algorithms, analysis and reporting using Python/PySpark/SQL. You will test, validate and deploy code to production using software development frameworks and best practices. About the team Amazon delights millions of customers around the world. Our work is dedicated to empowering leaders and enabling action through data and science. The Org Research and Measurement team builds science, reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team fulfilling an order in under an hour, or one of many more, the ORM team uses science, research and technology to optimize employee experience and performance across the full employee lifecycle. Our work is dedicated to empowering leaders and enabling action through data and science. BASIC QUALIFICATIONS Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or 4+ years industry experience Demonstrated strength in data modeling, ETL development and data warehousing. Hands on experience with a variety of DW technologies such as Oracle, Redshift, PostgreSQL Efficient in SQL query performance tuning skills Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc.) Should be able to understand business requirements, convert them into technical solutions and deliver software incrementally Should be able to build and support large-scale data solutions serving a global customer base. PREFERRED QUALIFICATIONS Experience building data products incrementally and integrating and managing datasets from multiple sources Hands on experience with AWS technologies such as Redshift, S3, EC2, etc. Hands-on experience with Linux/UNIX based systems Experience in building real-time reporting and analytics solutions Ability to work on a diverse team or with a diverse range of coworkers

Data Engineer

Amazon

Ex: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or 4+ years industry experience

Full Time

Bangalore,India

DESCRIPTION Job summary In this role as a Data Engineer, you will lead the design and implementation of a large-scale, low latency, end to end platform which will serve reporting (near real-time as well as historical) and predictive analytics needs of the Worldwide Consumer HR org. You will partner with scientists, analysts, engineers and senior leaders to deliver scientific solutions that improve employee experience across Amazon. Key job responsibilities In this role, you will lead the design of an end to end platform which will serve the historical reporting, real-time reporting and predictive analytics needs of the Worldwide Operations HR org. You should be well-versed in multiple DW, reporting and visualization platforms. You will have hands on experience with fast-growing and evolving datasets of large scale. You will understand the challenges of scaling analytical platforms globally, keeping the data security and regulations in mind. You will build scalable systems and solutions. A day in the life The Data Engineer for this role will collaborate with stakeholders on Org Research & Measurement science and engineering teams to build ML platforms, data ingestion processes and service integrations. You will design and implement scalable and efficient ETL extract/load strategies using AWS tools in development and production environments. The Data Engineer will develop code to acquire/transform datasets for machine learning algorithms, analysis and reporting using Python/PySpark/SQL. You will test, validate and deploy code to production using software development frameworks and best practices. About the team Amazon delights millions of customers around the world. Our work is dedicated to empowering leaders and enabling action through data and science. The Org Research and Measurement team builds science, reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team fulfilling an order in under an hour, or one of many more, the ORM team uses science, research and technology to optimize employee experience and performance across the full employee lifecycle. Our work is dedicated to empowering leaders and enabling action through data and science. BASIC QUALIFICATIONS Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or 4+ years industry experience Demonstrated strength in data modeling, ETL development and data warehousing. Hands on experience with a variety of DW technologies such as Oracle, Redshift, PostgreSQL Efficient in SQL query performance tuning skills Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc.) Should be able to understand business requirements, convert them into technical solutions and deliver software incrementally Should be able to build and support large-scale data solutions serving a global customer base. PREFERRED QUALIFICATIONS Experience building data products incrementally and integrating and managing datasets from multiple sources Hands on experience with AWS technologies such as Redshift, S3, EC2, etc. Hands-on experience with Linux/UNIX based systems Experience in building real-time reporting and analytics solutions Ability to work on a diverse team or with a diverse range of coworkers

Business Analyst I, Retail Business Service

Amazon

Ex: 1+ years of experience as finance/business analysis

Full Time

Bangalore,India

Job summary Do you want to be part of the team that ensures Amazon keeps its “Cx” promise across millions of customers worldwide? Does the challenge of driving decisions in a dynamic environment excite you? Do you love solving complex business problems? Are you seeking an environment where you can drive innovation? Are you a passionate self-starter? If the answer to the above questions is a resounding “YES”, read on! RBS Andon is seeking people with passion of solving complex business problem through analytical platform. You eye to uncover trends to go beyond the obvious, identify the “whys” You are comfortable dealing with ambiguity, asking questions and taking up challenges You deal with multiple teams; understand newer areas of business with ease You are comfortable owning multiple projects and driving them to closure You are technically sound in finding and wrangling data you need to bring out the insight You are comfortable presenting and reporting them effectively to Leaders of Amazon! This person will own the production and delivery of a suite of standard reports, tools regularly used by the organization to make key business decisions. This will involve: 1. Creating, supporting and continuously improving reports and metrics that support the business operations 2. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau 3. Shaping and delivering key metrics, reports, and indicators by which our business will assess its performance 4. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages 5. Working directly with business teams to utilize metrics and analysis to determine improvement opportunities Tools used include: 1. SQL (Oracle and Redshift) 2. Excel Advanced VBA 3. Tableau/Quicksight 4. Report scheduling tools (internal) The ideal candidate will be detail oriented and driven to provide insightful and timely information to customers. The candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. There is always room to make things better so this candidate should also have the ability to invent and simplify. Lastly, the candidate should have an ability to work effectively with cross-functional teams and an ability to work in a fast-paced and ever-changing environment. BASIC QUALIFICATIONS 1+ years of experience in financial/business analysis Experience with SQL or ETL Experience defining requirements and using data and metrics to draw business insights 3+ years of relevant work experience in a role requiring application of analytic skills to integrate in a business analyst, data analyst or statistical analysis role Creating complex SQL Queries joining multiple datasets and ETL DW concepts Strong Analytical skills – has ability to ask right questions, analyze data, draws conclusion by making appropriate assumptions Experience with reporting & like Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required. Be self-driven, and show ability to deliver on ambiguous projects with incomplete data. An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment Solid communication skills and team player Demonstrated ability to manage and prioritize workload PREFERRED QUALIFICATIONS Master’s Degree in Business, Engineering, Statistics, Computer Science, or Mathematics Experience using very large datasets 3+ years prior experience in a BI role with a technology company or financial institution 3+ years’ experience in Creating complex Excel VBA macros Knowledge of scripting for automation (e.g., Python, Perl, Ruby) Using Python / R for data analysis, statistical tools such as SAS

Business Analyst, WW Price Perception

Amazon

Ex: 3+ years of experience as finance/business analysis

Full Time

Bangalore,India

DESCRIPTION Job summary Amazon.com operates in a virtual, global e-commerce environment without boundaries, and operates a diverse set of businesses worldwide, including Retail, third party marketplaces, e-commerce platforms, web services for developers. Amazon’s global price perception is how the population perceives Amazon’s pricing compared to other retailers. Elements that make up customer price perception include the perceived; (1) competitiveness of the retailers pricing (i.e. who has the perceived lowest prices), (2) clarity of price information on the site, (3) the price vs quality of the products offered (i.e. the value), (4) the price the customer expects to pay for the product at a given retailer, and (5) how Amazon messages pricing in press and advertising. The Price Perception team is responsible for the metrics and programs that define customer price perception today. The team is responsible for driving new initiatives to deepen our understanding and measurement of price perception, as well as delivering projects that will improve Amazon’s price perception overtime. We protect Amazon Customers and influence projects to improve price perception and price satisfaction. Opportunity: Do you want to be part of the team that ensures Amazon keeps its “best price” promise across millions of products worldwide? Does the challenge of driving decisions in a dynamic environment excite you? Do you love solving complex business problems using technology? Are you seeking an environment where you can drive innovation? Are you a passionate self-starter? If the answer to the above questions is a resounding “YES”, read on! The ideal candidate is a motivated self-starter that can work in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazons varied pricing programs and processes. Amazon is one of the world’s most trusted companies. Help us keep it that way. Key job responsibilities 1. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support analytical and business needs of our customers. 2. Diving deep to fully understand the ETL pipelines, report architecture and metric definitions, Debugging report issues and unblocking workflows. 3. Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business intelligence solutions. 4. Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions 5. Standardize data and report consumption across all customer groups
. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation 6. Work with data engineering, Machine learning and software development teams to enable the appropriate capture and storage of key data points
 7. Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. BASIC QUALIFICATIONS 3+ years relevant experience in financial/business analysis Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with SQL Experience in Excel 1) Bachelors degree in a quantitative field or equivalent experience 2) 4+ years of relevant work experience in business intelligence, analytics, statistics, data engineering, data science or related field 3) Advanced proficiency in SQL, ETL management, data modelling, and working with “Big Data” 4) Experience with data visualisation using Tableau, Power BI, or similar tools 5) Experience with statistical modelling and analysing large data sets 6) Strong critical thinking skills and attention to detail 7) Both technically deep and business savvy enough to interface with all levels and disciplines within the organisation. PREFERRED QUALIFICATIONS · MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field · Extensive experience in a data engineer or BIE role with a technology company. . Experience working in very large data warehouse environments · Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets · Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) · Experience with statistical modelling / machine learning.

Data Analyst

Amazon

Ex: 1+ years of experience as finance/business analysis

Full Time

Bangalore,India

DESCRIPTION Job summary Amazons Seller Success and Retention team works to ensure that brands and sellers can grow profitably on Amazon. We are looking for a hands-on, detail oriented and highly motivated data analyst to help create data backed insights. The candidate should be comfortable interfacing with technology systems and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations. Role and Responsibilities: Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Put on your thinking cap to conduct deep- dives and drive insights which enable improvement in the business and product metrics Ensure KPIs are published and reviewed on a daily, weekly, monthly basis and perform analysis on any behaviors / processes that could impact on data integrity. Maintenance of data integrity (0% error rate) Charting and graphing of data for reporting purposes Translate data into actionable insights Identify areas of opportunity to automate and scale ad-hoc analyses Develop think big ideas to drive customer insights, engagement acquisition and retention Participate in strategic and tactical planning discussions BASIC QUALIFICATIONS 1+ years of experience in financial/business analysis Experience with SQL or ETL Experience defining requirements and using data and metrics to draw business insights Bachelors degree in Computer Science, Engineering, Operations Research, Math, or related discipline. Strong SQL Knowledge and Hands-on experience. Highly proficient in Microsoft Office and Windows based applications. Demonstrated Analytical ability, results-oriented environment with external customer interaction. Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly. Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment. PREFERRED QUALIFICATIONS Experience with E-Commerce, Retail and Business Analytics would be an advantage. Minimum 2+ years of experience as an Analyst role preferred Proficiency with visualization tools like Tableau Understanding of data warehousing, data modeling concept and building new DW tables Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms

Senior UX Designer

Amazon

Ex: Min 7+ years of experience

Full Time

Bangalore,India

Amazon is seeking a creative, thoughtful and customer-obsessed senior user experience designer to help us define the future of Shopping Experience in India. Your primary focus will be to create elegant and customer-focused designs that provide a superior customer experience working in close collaboration with business, product, technology, and design teams across locations. You will get the opportunity to own comprehensive end-to-end experiences, work across Amazon services and infrastructure yet provide locally relevant presentations of expansive content and functionality. The job requires you to completely understand Indian consumers and their online behavior and create new or modify existing Amazon experience to suit their need. Responsibilities: Design a superior customer experience. Define and achieve holistic product objectives. Collaborate with cross-functional teams like product managers, developers, and designers. Develop and provide thought leadership in the Shopping experiences across devices. Leverage available insights like market analysis, customer feedback, site metrics, and usability findings. Advocate for the customer and user-centered design in a corporate environment. Develop conceptual diagrams, wireframes, detailed visual mockups and prototypes. Communicate high-level design strategies and detailed interaction behaviors. Develop and maintain effective specifications and design patterns. Provide mentorship for designers and interns. BASIC QUALIFICATIONS At least 7 years of work experience in Interface Design, Interaction Design, or Information Architecture. A strong portfolio demonstrating past work experience and relevant, user-centered design solutions. An innate capacity for creating engaging, highly usable designs and layouts. Experience with designing end-user, web-based applications. Fluency in best practices for Information Architecture and Interaction Design. Ability to quickly turn around rigorous wireframes and mockups in an iterative environment. The ability to provide detailed specifications and/or optimized HTML and CSS prototypes for our Developers and Engineers to work from. A general understanding of how Design impacts Development (and vice versa), along with a knack for constructing dynamic, interactive designs that are technically feasible/prudent A strong awareness of common usability methods and principles. A lucid sense for how individual components and features impact their larger applications, and how to optimize accordingly. Excellent communication, presentation, interpersonal and analytical skills; the ability to communicate complex, interactive design concepts clearly and persuasively across different audiences and varying levels of the organization. The ability to manage ambiguity, work autonomously, and multi-task in an agile environment. Effectiveness in working across organizational boundaries to define, manage, and prioritize work. A clean sense of design aesthetics, and a natural propensity towards simplification over complication. An aptitude and honed intuition for tasteful, visual design details. PREFERRED QUALIFICATIONS Masters degree in design, human-computer interaction (HCI), or equivalent professional experience. Excellent customer experience intuition; demonstrated success in creating beautiful and user-friendly websites, mobile apps and consumer-facing features. Strong bias for action; ability to juggle multiple priorities and effectively deliver in a fast-paced, dynamic environment. Willingness to roll up the sleeves and do what is necessary to meet team goals. - Ability to prototype in Framer, Origami, InVision, Axure, HTML/CSS or JavaScript. Experience working with agile development teams (agile/scrum/kanban). Web-based or mobile application visual design in a global context. Experience creating style guides, pattern libraries, and other design solutions that drive design across large organizations. Excellent communication, presentation and persuasion skills; demonstrated success in building buy-in for an innovative, bold, strategic vision. Ability to track, document and base UX decisions backed by both qualitative and quantitative data. Experience in driving and educating UX best practices with the larger team.

Senior Business Research Analyst

Amazon

Ex: 5+ years of experience as finance/business analysis

Full Time

Bangalore,India

Job summary Amazon operates in a virtual, global eCommerce environment in seven countries across the Globe. Every day, millions of customers rely on Amazon to give them access to one of the worlds largest selections of consumer goods. To continue to delight and exceed our customers expectations, at Amazon, we take the quality of our catalog very seriously. Thats where you can help. The RBS group provides catalog augmentation and correction technologies for the Amazon selling community. Our solutions ensure information in Amazons catalogs is both complete and comprehensive enough to give our customers a great shopping experience every time. We are looking for a customer obsessed Data Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the e-commerce domain. As a successful Data Scientist in Walk the Store, you will work on variations, a concept, which consists of a family of product detail pages that vary by specific product attributes. You will navigate through numerous unexplored areas of product variation, driven by the diversity of millions products and across essential variation components within the amazon eco system, to formulate scaleable mechanisms that deliver superior customer experience. To be successful in this role, you need to be a sophisticated user of advanced data extraction and transformation tools (e.g Python, SQL), and will need to understand the source data and be able to synthesize it down to a form suitable for answering specific business questions, and machine learning. You should be able to model common patterns within the product families using unstructured data, design algorithms to detect anomalies at attribute level which are highly dynamic and differs by product. Work with higher dimensional features, apply scalable decomposition methods and drive feature singularity across the product type. Consider any anomaly in the product attribute is a defect and leverage Self-supervised algorithms to analyze anomalies in product attributes and recommend on possible fixes. You will need to be an expert in sequence modelling, with hands on experience on embedding and localized anomaly detection models. You need to be imaginative with a flair to solve complex problems in a challenging environment with a passion to build solutions that improve the experience of millions of Amazon customers. You will also need to be an expert at communicating insights and recommendations to audiences of varying levels of technical sophistication. As an experienced research analyst, you will help/mentor other research analyst and develop new algorithms leveraging both classical and deep learning techniques. Key Responsibilities for this Role:- Take ownership of a complex problem statement and define solution strategy to holistically solve that problem for RBS. Scoping, driving and delivering complex projects across multiple teams. Big data analysis to identify the defects patterns/process gaps and come up with long term solutions to eliminate the defects/issues. Build ecosystem for research analyst and scalable platform for RBS along with cross functional team Should be able to communicate effectively with business teams, tech teams as well as scientists from different groups Reviews and Makes recommendations that impact development schedules and the success for a product or project. Coordinates design effort between internal team and External team to develop optimal solutions for their part of project for Amazon’s network. Supports identification of down-stream problems (i.e. system incompatibility, resource unavailability) and escalate them to the appropriate level before they become project-threatening. Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes within their part of project. Influence all level either to gather data and information or to execute and implement according to the plan. Ability to deal with ambiguity and problem solver Communicate ideas effectively and with influence (both verbally and in writing), within and outside the team. Key Performance Areas: Ability to understand and solve business problems Data analytics and Data Sciences Machine learning (Deep Learning) BASIC QUALIFICATIONS Experience in Excel 5+ years relevant experience in financial/business analysis Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with SQL Master’s degree or higher in Engineering or Business. Thorough knowledge of Statistics, Data Sciences and Machine Learning. 6+ years of experience in using machine learning to solve business problems and building ML services Expert level competency in Python and its packages. PREFERRED QUALIFICATIONS Master degree / MBA Experience on product development Expertise in Python and Data Analytics Expertise in Text mining Expertise in Deep learning models

Data & Analytics Lead

Boston Consulting group

Ex: 7+ years relevant work experience providing advanced analytics solutions in the analytics sector or 4+ years in consulting and 3+ years in analytics sector.

Full Time

Bangalore,India

WHAT YOULL DO As a part of BCG’s GAMMA A, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage or suggest analytical methodologies to deliver value to BCGs Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support. You will collaborate with case teams & clients to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions. You might be expected to manage a team post 1 to 1.5 years. You will mentor junior members of the team to identify L&D, staffing opportunities which aligns to their & team’s overall objectives. You will play a key role in their career progression and will be responsible to groom the next line of leadership at GAMMA A. YOURE GOOD AT Analytics project delivery and take end to end responsibility for analytics work and high-quality outcomes Establish credibility by providing expert perspective on methodology and leads scoping, work-planning and day-to-day Activities. Delivers on analytics projects mostly working in the capacity of individual contributor or by involving other Advanced Analytics team analysts, 3rd party (outsourcers) and sometimes CT/ECT or client staff Shares fresh and commercially relevant topic/sector expertise in support of client work & internal development Provides institutionalized knowledge on relevant Analytics value propositions or industry practice area (Preferably FI, Banking, Manufacturing, Healthcare, TMT etc) Participates in resource deployment (staffing) according to business needs Plays an active role in recruitment according to business needs Deep technical expertise in ML stack : LCA, Random Forest, neural networks, Time Series methods Programming language - Python (Must have), (PySpark, R Or SAS) Data Visualization (Tableau, PowerBI, Spotfire, QlikView) , Domain expertise in any one of the following Financial institutions (Eg. Credit Risk, Early Warning System, Collections, Retention, X-Sell, Up-Sell etc.) Manufacturing (Eg. Network optimization, Production scheduling, Parameter optimization, Yield improvement etc.) Telecom & Media (Eg. X-Sell, Up-Sell, Value Based Rollout, Pricing Effectiveness, Churn, Personalization, Network Optimization Healthcare (Eg. Quality improvement, Sales force optimization, Up-sell and cross-sell, Pricing and promo, Scheduling of SKUs etc) YOU BRING (EXPERIENCE & QUALIFICATIONS) 7+ years relevant work experience providing advanced analytics solutions in the analytics sector or 4+ years in consulting and 3+ years in analytics sector. Undergraduate degree in a field linked to business analytics, statistics, economics, applied mathematics, computer science, engineering, operations research, or related field is required. Advanced degree is preferred in analytics with experience across various domains. Deep understanding around two-three sectors (Eg. FI, Telco Media Technology, Public Sector, Manufacturing, Healthcare, e-commerce etc) is an added advantage backed by solid project experience. YOULL WORK WITH You will collaborate with case teams & clients to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs

Data Engineer

Boston Consulting group

Ex: At least 2-4 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting

Full Time

Bangalore,India

WHAT YOULL DO As a part of BCG’s GAMMA team you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCGs Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support. You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions. YOURE GOOD AT Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to your module Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants; collecting, synthesizing, analysing case team learning & inputs into new best practices and methodologies Ensuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents Developing broad expertise in at least one analytics topic or platform Executing analytical approach and creating defined outcome; contributing to approach selection Working with case (and proposal) teams Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities Implementing ETL process(s) across on-premise and cloud architectures Monitoring performance and advising any necessary infrastructure changes Functional Skills: Communicating with confidence and ease You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication Thinking Analytically You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required. YOU BRING (EXPERIENCE & QUALIFICATIONS) Bachelors / Masters degree in computer science engineering/technology At least 2-4 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting Consulting experience will be considered a plus Proficient understanding of distributed computing principles Management of Spark clusters, with all included services – various implementations of Spark preferred Ability to solve ongoing issues with operating the cluster and optimize for efficiency Understanding of prevalent cloud ecosystems and its associated services AWS, Azure, Google Cloud, IBM Cloud. Expertise in at least one. Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala Good to have:- Experience with integration of data from multiple data sources Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Knowledge of various ETL techniques and frameworks, such as Flume Experience with various messaging systems, such as Kafka or RabbitMQ Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O Good understanding of Lambda Architecture, along with its advantages and drawbacks. YOULL WORK WITH You will work with the case team and/or client technical POCs and border Gamma team. ADDITIONAL INFORMATION BCG GAMMA combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG GAMMA team is comprised of data engineers, data scientists and business consultants who specialize in the use of advanced analytics to get high-impact business results. Our teams own the full analytics value-chain end to end: framing the business problem, building the data, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG GAMMA, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing Digital enterprise at BCG – a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.

Senior Data engineer

Boston Consulting group

Ex: At least 5+ years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting

Full Time

Bangalore,India

WHAT YOULL DO As a part of BCG’s GAMMA R team you will work closely with consulting teams and other stakeholders on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCGs Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support. You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions. You will work with global stakeholders such as Project/Case teams and clients and support by working in AP/EU/AM time zones during weekdays or weekends. YOURE GOOD AT Working with case (and proposal) teams Acquiring deep expertise in at least one analytics topic & understanding of all analytics capabilities Defining and explaining expected analytics outcome; defining approach selection Supporting and enhancing original analysis and insights to case teams, typically owning the maintenance of all or part of an analytics module post implementation. Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies Assuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents Able to generate project work for self via connects Team requirements: Guides juniors on analytical methodologies and platforms, and helps in quality checks Contributes to team’s content & IP development Imparts technical trainings to team members, consulting cohort and (If/when required) Client IT team. Functional Skills: Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities Enhancing/optimizing and maintaining ETL process(s) across on-premise and cloud architectures Monitoring performance and advising any necessary infrastructure changes Communicating with confidence and ease: You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication. Thinking Analytically: You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required. YOU BRING (EXPERIENCE & QUALIFICATIONS) Bachelors / Masters degree in computer science engineering/technology At least 5+ years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting Consulting experience will be considered a plus Proficient understanding of distributed computing principles Management of Spark clusters, with all included services – various implementations of Spark preferred Ability to solve ongoing issues with operating the cluster and optimize for efficiency Understanding of prevalent cloud ecosystems and its associated services AWS, Azure, Google Cloud, IBM Cloud. Expertise in at least one. Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala Experience with integration of data from multiple data sources Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Knowledge of various ETL techniques and frameworks, such as Flume Experience with various messaging systems, such as Kafka or RabbitMQ Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O Good understanding of Lambda Architecture, along with its advantages and drawbacks YOULL WORK WITH You will work with the case team and/or client technical and border Gamma Team. ADDITIONAL INFORMATION BCG GAMMA combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG GAMMA R team is comprised of data engineers, data scientists and business consultants who specialize in the use of advanced analytics to get high-impact business results. Our teams own the full analytics value-chain end to end: framing the business problem, building the data, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG GAMMA R, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing Digital enterprise at BCG – a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology