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Senior AWS Data Engineer
Senior AWS Data EngineerEpergne Solutions • Gurgaon, Haryana, India
Senior AWS Data Engineer

Senior AWS Data Engineer

Epergne Solutions • Gurgaon, Haryana, India
30+ days ago
Job type
  • Quick Apply
Job description

Role : Senior AWS Data Engineer

Job Mode : Remote

Experience : 7+ Years

Notice Period : Immediate / 10 Days To 15 days NP

Job Description

We are looking for a Senior AWS Data Engineer with strong expertise in building scalable data pipelines and designing efficient data architectures. The ideal candidate should have a solid background in data engineering, strong programming skills, and deep experience working with AWS cloud services.

Key Responsibilities

  • Design, develop, and maintain data pipelines and data assets using modern data engineering techniques.
  • Work extensively with PySpark , Python , and Boto3 to implement robust data solutions.
  • Optimize and refactor existing codebases to improve performance , readability , and maintainability .
  • Write and maintain unit tests following TDD principles to ensure code quality and functionality.
  • Debug and fix complex issues related to performance , concurrency , and logic .
  • Manage code versioning and collaboration using Git repositories and JFrog Artifactory .
  • Collaborate with cross-functional teams to design and implement AWS-based architectures .

Required Skills & Experience

  • 7+ years of hands-on experience in data engineering .
  • Strong programming skills in Python , including frameworks and libraries aligned with Python best practices.
  • Proven experience with PySpark and Spark SQL for large-scale data processing and code optimization .
  • Proficient in AWS services such as S3, EC2, Lambda, Redshift, CloudFormation , etc., and able to explain their benefits and use cases.
  • Solid understanding of Git version control and artifact management tools (e.g., JFrog Artifactory).
  • Experience in code refactoring , unit testing , and debugging complex systems .
  • Preferred Qualifications

  • Experience in designing data lake or data warehouse architectures on AWS.
  • Exposure to DevOps and CI / CD pipelines for data workflows.
  • Strong analytical and problem-solving skills with a focus on performance tuning.
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    Senior Data Engineer • Gurgaon, Haryana, India

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