Senior Test Engineer (with scripting and automation)

We are seeking a meticulous and analytical Data QA Analyst to join a new data team working with Large Language Models. You'll play a critical role in ensuring the accuracy, consistency, and reliability of our data. To ensure success as a data QA engineer, you should have programming skills and a keen eye for detail.
Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups.

• Responsibilities:

  • Develop and execute test plans, test cases, and scripts for data validation across ETL processes, databases, and reporting tools.
  • Perform root cause analysis on data issues and work with engineering and analytics teams to resolve them.
  • Monitor data quality metrics and implement automated checks to detect anomalies.
  • Validate data transformations, aggregations, and business logic in dashboards and reports.
  • Collaborate with data engineers, analysts, and product managers to define QA requirements and acceptance criteria.
  • Document QA processes, test results, and data issue logs for transparency and continuous improvement.

• Mandatory Skills Description:

  • Proven experience in data QA, data analysis, or data engineering roles.
  • Experience with MS SQL and PostgresSQL
  • Strong SQL skills for querying and validating large datasets.
  • Familiarity with data warehousing concepts and ETL processes.
  • Understanding of data governance, data lineage, and metadata management.
  • Excellent attention to detail and problem-solving abilities.
  • Strong communication skills to explain data issues and collaborate with cross-functional teams.
  • Scripting and automation (e.g., PowerShell, Python, Java).
  • Experience with Gitlab.
  • Knowledge of Spotfire data visualization platform or alternative dashboard solutions.
  • Awareness of Agile delivery methodologies.