Senior Data Analyst

Garena

pune,maharastra

Job Description

About the job

About the job

Job Description

We are looking for a savvy Data Engineer to join our growing team of analytics experts.

The hire will be responsible for expanding and optimizing our data and data pipeline

architecture, as well as optimizing data flow and collection for cross functional teams.

The ideal candidate is an experienced data pipeline builder and data wrangler who

enjoys optimizing data systems and building them from the ground up. The Data

Engineer will support our software developers, database architects, data analysts and

data scientists on data initiatives and will ensure optimal data delivery architecture is

consistent throughout ongoing projects. They must be self-directed and comfortable

supporting the data needs of multiple teams, systems and products. The right candidate

will be excited by the prospect of optimizing or even re-designing our company’s data

architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer:

● Create and maintain optimal data pipeline architecture,

● Assemble large, complex data sets that meet functional / non-functional business

requirements.

● Identify, design, and implement internal process improvements: automating

manual processes, optimizing data delivery, re-designing infrastructure for

greater scalability, etc.

● Build the infrastructure required for optimal extraction, transformation, and

loading of data from a wide variety of data sources using SQL ,SnowFlake and

AWS ‘big data’ technologies.

● Build analytics tools that utilize the data pipeline to provide actionable insights

into customer acquisition, operational efficiency and other key business

performance metrics.

● Keep our data separated and secure across national boundaries through multiple

data centers and AWS regions.

● Create data tools for analytics and data scientist team members that assist them

in building and optimizing our product into an innovative industry leader.

● Work with data and analytics experts to strive for greater functionality in our data

systems.

Qualifications for Data Engineer:

● Advanced working SQL knowledge and experience working with relational

databases, query authoring (SQL) as well as working familiarity with a variety of

databases.

● Experience building and optimizing ‘big data’ data pipelines, architectures and

data sets.

● Experience performing root cause analysis on internal and external data and

processes to answer specific business questions and identify opportunities for

improvement.

● Strong analytic skills related to working with unstructured datasets.

● Build processes supporting data transformation, data structures, metadata,

dependency and workload management.

● A successful history of manipulating, processing and extracting value from large

disconnected datasets.

● Working knowledge of message queuing, stream processing, and highly scalable

‘big data’ data stores.

● Experience supporting and working with cross-functional teams in a dynamic

environment.

● They should also have experience using the following software/tools:

â—‹ Experience with big data tools: Spark, Kafka, etc.

â—‹ Experience with relational SQL and NoSQL databases, including Postgres

and MongoDB.

â—‹ Experience with data pipeline and workflow management tools: Azkaban,

Luigi, Airflow, etc.

â—‹ Experience with AWS cloud services: EC2, EMR, RDS, Redshift and S3

â—‹ Experience with stream-processing systems: Storm, Spark-Streaming, etc.

â—‹ Experience with object-oriented/object function scripting languages:

Python, Java, Scala, etc.

â—‹ Experience with Data Modelling concepts