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
Positive 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.

📌 Data Engineer (Pune)
🏢 hiringhood
📍 Pune