Data Engineer

Qualification: BE/B.Tech/M.Tech - Computer/IT

Experience: 3 to 5 Years

Roles & Responsibilities:

•Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation

•Experience working with and creating cloud data solutions

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

•Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies

•Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

•Manipulate data at scale: getting data in a ready-to-use state in close alignment with various business and Spoke stakeholders.

•ETL

•Data Lake, Data Warehouse, RDS architectures knowledge

•Python, SQL (Any other OOP language is also valuable)

•Pyspark (preferably) or Spark Knowledge

•Object-oriented programming, Clean Code and good documentation skills

•AWS: S3, Athena, Lambda, Glue, IAM, SQS, EC2, Quicksight, and etc.

•Git

•Data Analysis & Visualization

Additional Skills:

•AWS CDK Cloud Development Kit

•CI/CD knowledge