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AWS – Data Engineer
Epergne SolutionsGurgaon, India14 hours ago
Job description7+ years hands-on experience in Python, PySpark, Boto3 , and related frameworks / libraries. Proven expertise in Spark SQL & PySpark optimization . Strong knowledge of AWS architecture (S3, EC2, Lambda, Redshift, CloudFormation). Experience in code refactorization for clean, maintainable solutions. Familiarity with Git, JFrog Artifactory , and modern CI / CD practices. Strong debugging and problem-solving skills. Solid understanding of unit testing and TDD methodologies .
Job Role : -AWS Data Engineer
Job Location : -Pune / Hyderabad / Chennai / Mysuru / Bhubaneswar / Mangalore / Trivandrum / Chandigarh / Jaipur / Nagpur / Indore / Gurgaon
Experience : - 7+ Years
Job Roles & Responsibilities : -
- Design, develop, and maintain data pipelines and assets on AWS.
- Optimize and refactor legacy PySpark / Spark SQL code for performance and maintainability.
- Implement unit testing / TDD to ensure robust, bug-free code.
- Debug and resolve complex performance, concurrency, and logic issues .
- Manage code versioning and repositories (Git, JFrog Artifactory).
- Leverage AWS services (S3, EC2, Lambda, Redshift, CloudFormation) for scalable data solutions.
Job Skills & Requirements : -
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Aws Data Engineer • Gurgaon, India
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