4 - 8 years

10 - 19 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities

  • Design and implement scalable ETL/ELT data pipelines using

    AWS Glue

    ,

    PySpark

    , and

    Python

    .
  • Develop data workflows integrating multiple AWS services such as

    S3

    ,

    Lambda

    ,

    EMR

    ,

    Athena

    ,

    Redshift

    ,

    SNS

    , and

    SQS

    .
  • Optimize data storage and retrieval performance on AWS.
  • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver data-driven solutions.
  • Implement best practices for data governance, quality, and security within AWS environments.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.

Technical Skills Required

  • Strong hands-on experience with

    AWS Services

    : Glue, Lambda, S3, EMR, Athena, Redshift, SNS, SQS, etc.
  • Proficiency in

    PySpark

    and

    Python

    programming.
  • Solid understanding of data warehousing, data modeling, and ETL concepts.
  • Experience with version control tools (e.g., Git) and CI/CD practices.
  • Familiarity with data lake architecture and modern data platform concepts.

Preferred Qualifications

  • AWS Certification (e.g., AWS Data Analytics Specialty or AWS Solutions Architect) is a plus.
  • Experience working in Agile or DevOps-based environments.
  • Strong problem-solving and analytical skills with attention to detail.

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