Job Location: Bangalore/Bengaluru
Roles and Responsibilities
Detailed JD
Job Title: AWS Data Engineer
Responsibilities
- AWS tech stack required for the project is mentioned in a table below
- Primary focus is on Glue, S3, Redshift, Lambda, PySpark, Spark. Then added skillset which could add value are AWS Step function, NoSQL DB like Dynamo DB and AWS Data Migration Service in that order of priority
- Data engineer should have atleast 2 years of relevant AWS experience with their services mentioned above. For senior data engineer the person should have atleast 3 to 4 years of experience on the tools
- Experience in data security or governance and performance improvement is an added benefit
- Only focus is on AWS services and tech stack. Other big data platforms wont add much value for the candidate in their client interview
- Another important aspect of interview which we have noticed with client is that they are looking for logical reason behind the choices made by candidate for their coding practices. It can be anything where the coder chooses a tool over the other or what are the best practices the person is using or what are the problems the coder faces when using 2 components together like Redshift with S3, etc.
Desired Candidate Profile
Must Have: AWS, Glue, Pyspark
Perks and Benefits
Best In Industry
Do share profiles to anupa.Dhing@brillio.com
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