Data Engineer (Python, PySpark, AWS)

5 - 7 years

5 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a skilled Data Engineer with strong expertise in Python, PySpark, and the AWS Data Engineering stack to design, develop, and optimize large-scale ETL pipelines. The ideal candidate will have a solid foundation in data engineering best practices, automation, and modern cloud-based architectures, along with a passion for leveraging Generative AI tools to boost productivity and code quality.

Core Must-Have Skills:

  • Strong proficiency in

    Python

    and

    PySpark

    for developing and optimizing ETL pipelines.
  • In-depth understanding of

    data engineering best practices

    , including data validation, transformation logic, and performance optimization.
  • Experience working with

    large-scale data processing

    and distributed computing environments.

Good-to-Have / Preferred Skills:

  • Working knowledge of

    Scala

    programming, particularly for Spark-based use cases.
  • Familiarity with

    AI-assisted development tools

    such as GitHub Copilot to enhance productivity and code quality.

AWS Data Engineering Stack Expertise:

  • Hands-on experience with

    AWS Glue

    ,

    Lambda Functions

    ,

    EventBridge

    ,

    SQS

    ,

    SNS

    ,

    DynamoDB

    , and

    Streams

    for building serverless and event-driven data pipelines.
  • Proficiency in

    CloudWatch

    for creating dashboards, setting up s, and monitoring pipeline health.
  • Basic working knowledge of

    AWS CDK

    and

    CloudFormation

    for infrastructure automation and deployment.

Required Skills

Python ,Pyspark,Data Validation,Transformation Logic

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