Python AWS Data Engineer

3 - 8 years

5 - 10 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview
We are seeking a hands-on Python AWS Data Engineer to design, develop, and maintain robust ETL pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in Python, Spark, SQL , and AWS services , with experience in building scalable data pipelines, implementing data transformations, and ensuring high-quality, maintainable code.
You will collaborate closely with data architects, analysts, and business stakeholders to enable data-driven decision-making while working in an Agile environment .

Key Responsibilities
  • Design, develop, and maintain ETL pipelines using Python, Spark , and AWS services.
  • Build, test, debug, and document Python and Spark applications .
  • Work with AWS services including S3, ECS, Lambda, Glue, DynamoDB, SQS, SNS, IAM, and Athena .
  • Write and optimize SQL queries, joins, and stored procedures for relational databases.
  • Implement unit tests and validation using Pytest or Unittest frameworks.
  • Collaborate with DevOps teams to maintain CI/CD pipelines using Git, Jenkins/Bamboo .
  • Ensure scalability, performance, and reliability of data pipelines.
  • Participate in Agile ceremonies and contribute to sprint planning, code reviews, and retrospectives.
  • Document solutions, data flows, and ETL transformations for knowledge sharing and compliance.

Requirements Required Skills Experience

  • 38 years of hands-on experience in Python, Spark, SQL , and ETL development.
  • Strong experience with AWS cloud services and cloud-native data solutions.
  • Proficiency in ETL architecture and pipeline design.
  • Experience with unit testing frameworks like Pytest and Unittest.
  • Solid understanding of RDBMS, SQL queries, joins, stored procedures .
  • Exposure to CI/CD and build automation tools (Git, Jenkins/Bamboo).
  • Familiarity with Bitbucket, GitHub, Jira, Splunk, PostgreSQL is a plus.
  • Excellent verbal and written communication skills .
  • Ability to work in Agile/Scrum environments.
  • Investment Management domain knowledge is an added advantage.

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