AWS ETL & SQL Tester – Data Pipelines Quality

Artifintech; Pittsburgh (Allegheny County); On-site; USD 85,000 - 120,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking an ETL Developer/SQL tester with 5-7 years of experience to design and validate data pipelines on AWS. The role focuses on building robust ETL processes, ensuring data quality, and validating backend logic.

You will work with developers and analysts to translate business requirements into thorough test plans, automate where possible, and drive performance improvements in high-volume cloud environments. Pittsburgh area experience is a plus.

Qualifications

• Experience with SQL scripting and relational database modeling.
• Experience creating AWS ETL jobs and data pipelines for high volumes.
• Experience with DevOps practices and automation tools.
• Analyze and plan testing, write test cases, and execute tests.
• Strong communication and collaboration with cross-functional teams.
• Experience programming and testing large-scale cloud solutions.

Responsibilities

• Design, build, and maintain ETL pipelines.
• Analyze data models and assess business requirements.
• Troubleshoot data issues and optimize performance.
• Create documentation for processes and systems.
• Data validation: verify data accuracy in SQL queries.
• Design, create and execute test cases.
• Backend testing of data processing beyond the UI.
• Collaborate with developers and analysts to ensure coverage.

Skills

SQL scripting

Relational DB modeling

AWS ETL

Data pipelines

DevOps practices

Automation tools

Testing

Communication

Tools

AWS

DevOps tools

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking an ETL Developer/SQL tester with 5-7 years of experience to design and validate data pipelines on AWS. The role focuses on building robust ETL processes, ensuring data quality, and validating backend logic.

You will work with developers and analysts to translate business requirements into thorough test plans, automate where possible, and drive performance improvements in high-volume cloud environments. Pittsburgh area experience is a plus.