Senior AWS Data Engineer

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.