We are seeking a Senior QA Data Engineer with expertise in AWS Cloud and proficiency in Jenkins, AWS Glue, Lambda, Python, S3 and test automation. The ideal candidate will ensure the quality and reliability of data pipelines through robust testing and collaboration with DevOps teams on CI/CD pipelines.
Key Responsibilities:
Develop and maintain automated test cases for ETL pipelines, APIs, and data workflows using Python.
Build and validate Jenkins CI/CD pipelines for automated testing and deployment.
Test and troubleshoot AWS services, including Glue, Lambda, RDS, S3, and Iceberg, ensuring seamless integration and scalability.
Collaborate closely with DevOps to enhance deployment processes and pipeline efficiency.
Design data validation frameworks and monitor pipeline performance for data quality assurance.
Validate NoSQL and relational database integrations in data workflows.
Document test strategies, results, and best practices for cross-team alignment.
Required Skills:
Strong expertise in CI/CD tools like Jenkins and test automation with Python.
Proficient in SQL and NoSQL databases for data validation and analysis.
Hands-on experience with AWS services, including Glue, Lambda, RDS, Iceberg, S3, and CloudWatch.
Proven track record in testing and validating ETL workflows and data pipelines.
Strong problem-solving skills and a team-oriented mindset for effective collaboration with DevOps and engineering teams.
Industry: Banking Functional Area / Department: Engineering - Software & QA Role Category: Quality Assurance and Testing Role: Test Analyst Employement Type: Full time