AWS ETL Developer - Data Pipelines & Testing

MACHINE LEARNING TECHNOLOGIES LLC; Pittsburgh (Allegheny County); On-site; USD 62,000 - 96,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Pittsburgh is seeking an ETL Developer / SQL tester with AWS to design and validate data pipelines for large-scale cloud projects. You will build robust ETL workflows and perform rigorous backend testing while collaborating with developers, analysts, and stakeholders.

You will script SQL, model relational databases, and implement DevOps practices to improve automation and data quality.

Qualifications

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

Responsibilities

• Designing, building, and maintaining ETL pipelines.
• Analyzing data models and business requirements.
• Troubleshooting data issues and optimizing performance.
• Creating documentation for processes and systems.
• Data Validation: Query the database to verify that data is correctly inserted, updated, and deleted by the application, ensuring data accuracy and integrity.
• Backend Testing: Validating backend logic and data processing that might not be immediately visible through the user interface.
• Collaboration: Working closely with developers and business analysts to understand data requirements and ensure comprehensive test coverage.

Skills

SQL scripting

AWS ETL

DevOps automation

Test design

Test execution

Cross-functional comms

State Government

Cloud testing

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Pittsburgh is seeking an ETL Developer / SQL tester with AWS to design and validate data pipelines for large-scale cloud projects. You will build robust ETL workflows and perform rigorous backend testing while collaborating with developers, analysts, and stakeholders.

You will script SQL, model relational databases, and implement DevOps practices to improve automation and data quality.