Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your Databricks and AI/ML testing expertise within the dynamic financial industry, fostering significant career growth and skill development. You'll thrive here if you possess strong SQL and data validation skills, enjoy collaborating with cross-functional teams, and are eager to contribute to cutting-edge data solutions. Apply now to join a reputable company and make a tangible impact!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
Yesterday
SQLETLScrumAgileDatabricks
Job Description
Title: QA Engineer - Databricks & AI
Location: Charlotte, NC / Jersey City, NJ - Hybrid
Type: Long-Term Contract
Industry: Banking/Financial preferred
Third Party Candidate not allowed
Year of experience: 5+ Years
Job Summary
We are seeking an experienced QA Engineer with strong expertise in Databricks pipeline testing, data validation, and AI/ML testing. The ideal candidate will have hands-on experience validating complex data pipelines and workflows within Databricks, along with practical experience testing AI/ML solutions, models, and AI-driven applications.
This role will work closely with Data Engineering, AI/ML, Development, and Business teams to ensure the accuracy, reliability, quality, and performance of data pipelines and AI solutions.
Required Skills
Location: Charlotte, NC / Jersey City, NJ - Hybrid
Type: Long-Term Contract
Industry: Banking/Financial preferred
Third Party Candidate not allowed
Year of experience: 5+ Years
Job Summary
We are seeking an experienced QA Engineer with strong expertise in Databricks pipeline testing, data validation, and AI/ML testing. The ideal candidate will have hands-on experience validating complex data pipelines and workflows within Databricks, along with practical experience testing AI/ML solutions, models, and AI-driven applications.
This role will work closely with Data Engineering, AI/ML, Development, and Business teams to ensure the accuracy, reliability, quality, and performance of data pipelines and AI solutions.
Required Skills
- Strong hands-on QA/testing experience.
- Strong experience testing Databricks data pipelines.
- Hands-on experience with Databricks notebooks, workflows/jobs, and data transformations.
- Strong SQL skills for data validation and testing.
- Experience with ETL/ELT testing and data-quality validation.
- Hands-on experience with AI/ML testing or AI-enabled applications.
- Understanding of AI/ML concepts, model validation, and testing AI outputs.
- Experience with test automation and/or automated data validation.
- Strong troubleshooting and analytical skills.
- Experience working in Agile/Scrum environments.
- Strong communication and collaboration skills.
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