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6-8 years of relevant work experience showing growth as a Data Engineer.Hands On programming experienceImplementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS LakeFormation.Experience of performance optimization in Batch and Real time processing applicationsExpertise in Data Governance and Data Security ImplementationWorked on Scheduling tools like AirflowGood hands-on design and programming skills building reusable tools and productsExperience developing in AWS or similar cloud platforms. Preferred:, ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, QuickSight or similar.Good knowledge of Python. Good to have Java/Scala.Familiarity with systems with very high volume of transactions, micro service design, or data processing pipelines (Spark).Experience in efficient data processing using open table format Delta, Iceberg.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
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