Senior Data Analytics QA with Automation in Python

Responsibilities:

• Testing databases and ELT processes
• Automating tests in Python using libraries such as pandas
• Validating and testing reports and data visualization tools
• Conducting data flow testing in data warehouses and Data Lakes
• Working with tools such as Snowflake, dbt, AWS (S3, Athena, QuickSight)
• Creating BDD tests using Cucumber
• Analyzing and ensuring data integrity in SQL

Requirements:

• Experience in testing data warehouses / Data Lakes / Data Marts
• Knowledge of Data Engineering processes and the differences between ETL and ELT
• Strong proficiency in SQL (aggregations, joins, unions, CTE, window functions)
• Familiarity with data visualization tools (ideally ThoughtSpot)
• Knowledge of Jinja templates, YAML, and dbt (at least for reading code)
• Proficiency in Python and tools such as Jupyter and pandas
• Familiarity with AWS environment (S3, Athena, QuickSight)
• Experience with BDD approach and working with Cucumber
• Experience in API testing
• Experience in report test automation is a plus

Offer:

• Private medical care
• Co-financing for the sport card
• Training & learning opportunities
• Constant support of dedicated consultant
• Team-building events organized by DCG
• Employee referral program