Data Engineer

4 weeks ago

PuneMumbai, Maharashtra, India Hiringhood Full time

Primary Skills : DynamoDB, Java, Kafka, Spark, Amazon Redshift, AWS Lake Formation, AWS Glue, Python

Job Description :

- 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.

(ref:hirist.tech)

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