Job Role: -AWS Data Engineer

Work Mode - Remote

Experience: - 7+ Years

Job Roles & Responsibilities: -
Design, build, and optimize data pipelines and scalable data assets.
Develop and maintain high-performance code using PySpark/Python with best practices.
Perform code optimization using Spark SQL and PySpark for efficiency.
Implement code refactoring to modernize legacy codebases for readability and maintainability.
Write and maintain unit tests (TDD) to ensure code reliability and reduce bugs.
Debug and resolve complex issues including performance, concurrency, and logic flaws.
Work with AWS services (S3, EC2, Lambda, Redshift, CloudFormation) to architect and deliver solutions.
Manage version control and artifact repositories with Git and JFrog Artifactory.





Job Skills & Requirements: -
7+ years of robust hands-on experience in PySpark, Python, Boto3, and Python frameworks/libraries.
Expertise in Spark SQL & PySpark optimization.
Solid understanding of AWS architecture and cloud-native solutions.
Proficiency in Git repositories & JFrog Artifactory for code versioning.
Solid experience in refactoring, debugging, and optimizing legacy and recent code.
Knowledge of TDD/Unit testing to ensure robust solutions.

Required Skill Profession

Computer Occupations

📌 Aws Data Engineer Pune (India)
🏢 Epergne Solutions
📍 India