6-8 years of relevant work experience showing growth as a Data Engineer.
Hands On programming experience
Implementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS LakeFormation.
Experience of performance optimization in Batch and Real time processing applications
Expertise in Data Governance and Data Security Implementation. Good hands-on design and programming skills building reusable tools and products
Experience developing in AWS or similar cloud platforms. Preferred:, ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, QuickSight or similar. Familiarity with systems with very high volume of transactions, micro service design, or data processing pipelines (Spark). Knowledge and hands-on experience with server-less technologies such as Lambda, MSK, MWAA, Kinesis Analytics a plus. Expertise in practices like Agile, Peer reviews, Continuous Integration