Data Engineer

To be successful as a Data Engineer, you should have experience with:

• Good hands-on experience in Abinitio ETL tool. 

• Strong exposure in python and pyspark and strong knowledge on Dataframes, RDD and Spark SQL.

• Hands on Experience in developing, testing and maintaining applications on AWS Cloud. 

• Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena) 

• Experience in Writing advanced SQL and PL SQL programs. 

• Experience in AWS data pipeline development. 

• Hands On Experience for building reusable components using AWS Tools/Technology 

• Should have worked at least on two major project implementations. 

Some other highly valued skills may include: 

• Ability to engage with Stakeholders, elicit requirements/ user stories and translate requirements into ETL components 

• Ability to understand the infrastructure setup and be able to provide solutions either individually or working with teams. 

• Good knowledge of Data Marts and Data Warehousing concepts. 

• Resource should possess good analytical and Interpersonal skills. 

• Implement Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to build data movement strategy.