Skills

• Senior Quality Engineer – Data Pipelines (AWS) Location:Hybrid – Manhattan must be local to NJ must have 15 years of exp Employment Type:Contract Role Summary We are seeking a Senior Quality Engineer to own test planning and validation of data pipelines within an AWS-based data lakehouse environment. This role will work closely with developers
• DevOps
• and data teams to ensure data integrity and reliability across CI/CD pipelines and cloud workflows. The position involves designing and maintaining test automation
• independently analyzing logs to troubleshoot failures
• and contributing to stable and reliable data processing using AWS services. Ideal Candidate Profile 14+ years overall experience in software quality
• testing
• and data pipeline validation 5+ years in testing AWS-based data pipelines and cloud workflows Experience working in Agile environments (Scrum or Kanban) Familiarity with cloud-based and DevOps-driven development environments Working knowledge of SQL and relational databases Experience with software testing tools (e.g.
• Jira
• qTest
• ALM
• Selenium) Basic proficiency with Git version control (clone
• commit
• push
• pull
• branching) Basic command-line proficiency (Linux
• PowerShell
• CMD) Hands-on experience with AWS services: S3
• Glue
• Athena
• CodeCommit
• CodeBuild
• CodePipeline Experience with Terraform/Terrahub in CI/CD pipelines Log analysis and troubleshooting in build/deployment pipelines Key Responsibilities Own end-to-end test planning and execution for AWS-based data lakehouse pipelines and integrations Design
• develop
• and maintain automated test scripts to validate data pipelines and support CI/CD workflows Validate data workflows using AWS services including S3
• and Athena Independently support and troubleshoot CI/CD pipelines using CodeCommit
• and CodePipeline Review build and deployment logs to identify failures and perform root cause analysis Work with Terraform/Terrahub components within build pipelines (CodeBuild) Perform functional
• regression
• and data validation testing across releases Track
• document
• and drive defects through resolution in collaboration with development teams Define test strategies
• scope
• and estimates for releases and test cycles Collaborate with cross-functional teams to support UAT and production readiness Communicate testing progress
• risks
• and results to stakeholders Education: Bachelor’s degree in Computer Science
• Engineering
• Information Systems
• or equivalent experience.

Summary