Our Client is seeking a Data Engineer – PSQA.
Responsibilities:
- Design, build, and maintain dashboards and scorecards for PSQA release and quality metrics
- Query, aggregate, and transform release/version data using SQL and Python
- Develop ETL pipelines to process and simplify quality and release data from multiple components
- Model release- and version-based data to enable tracking and trend analysis over time
- Perform exploratory data analysis to surface insights and support data-driven quality decisions
- Collaborate with PSQA and cross-functional stakeholders to translate quality and release needs into actionable dashboards
- Take ownership of assigned data deliverables, driving issues to resolution independently
- Document data models, pipeline logic, and dashboard definitions for maintainability
Requirements
- Strong SQL skills for querying, aggregation, and data modeling
- Python proficiency (Pandas/PySpark) for ETL and data transformation
- Experience building dashboards with BI tools (QuickSight, Tableau, or Power BI)
- Ability to model release/version-based data for longitudinal tracking
- Basic data science skills – statistics, EDA, notebook-based analysis
- Familiarity with AWS fundamentals (S3, Athena/Redshift)
- Experience with Git for version control
- Strong written and verbal communication skills
Nice to Have:
- Experience with data pipeline scheduling (Airflow or similar)
- Practical experience using AI tools (Copilot, Cursor, ChatGPT) to improve productivity
- Prior exposure to QA, release management, or software quality metrics
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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