Data Engineer
1 week ago
Primary Skills DynamoDB, Java, Kafka, Spark, Amazon Redshift, AWS Lake Formation, AWS Glue, Python
Skills: Good work experience showing growth as a Data Engineer. Hands On programming experience Implementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS Lake Formation. Excellent knowledge in: Python, Scala/Java, Spark, AWS (Lambda, Step Functions, Dynamodb, EMR), Terraform, UI (Angular), Git, Mavena 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, Quick Sight 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
Roles and responsibilities: Determining project requirements and developing work schedules for the team. Delegating tasks and achieving daily, weekly, and monthly goals. Responsible for designing, building, testing, and deploying the software releases.
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