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Data Engineer

Data Engineer

VirtusaPune, Maharashtra, India
20 hours ago
Job description

Data Engineer - CREQ Description 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

Worked on Scheduling tools like Airflow

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.

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

Primary Location Pune, Maharashtra, India Job Type Experienced Primary Skills Amazon Redshift, Kafka Years of Experience 8 Qualification

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

Worked on Scheduling tools like Airflow

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.

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

Travel No

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Data Engineer • Pune, Maharashtra, India