Senior Data QA

Senior Data QA (Praca zdalna)

DCG

Gliwice
B2B
💼 B2B
Senior Data QA
testowanie hurtowni danych
ETL/ELT
SQL
Snowflake
dbt
☁️ AWS
🐍 Python
Pandas
BDD
Cucumber
English B2

Podsumowanie

Senior Data QA – testowanie hurtowni, jezior i martów danych; walidacja ETL/ELT, zapytania SQL, testy raportów; praca z Snowflake, dbt, AWS, Python/Pandas, BDD (Cucumber). Wymagane: zaawansowany SQL, Snowflake, dbt, Python, AWS, język angielski min. B2. Benefity: prywatna opieka medyczna, współfinansowanie karty sportowej, wsparcie konsultanta, program poleceń. Praca zdalna, Gliwice, pełny etat, B2B.

Słowa kluczowe

Senior Data QAtestowanie hurtowni danychETL/ELTSQLSnowflakedbtAWSPythonPandasBDDCucumberEnglish B2

Benefity

  • prywatna opieka medyczna
  • współfinansowanie karty sportowej
  • wsparcie dedykowanego konsultanta
  • program poleceń pracowniczych

Opis stanowiska

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Senior Data QAResponsibilities: Perform testing of data warehouses, data lakes, and data marts Validate ETL/ELT processes and test end-to-end data flows Conduct database testing using SQL, including complex queries with joins, unions, CTEs, and window functions Test reports and dashboards, including work with data visualization tools (e.g., ThoughtSpot) Validate data transformations built with dbt (Jinja templates, YAML configurations, SQL models) Work with Snowflake-based data platforms and AWS services (S3, Athena, QuickSight) Use Python, Jupyter, and Pandas for data validation and exploratory testing Apply BDD practices (Cucumber) in the testing process Support data engineering, data modeling, and data mining activities from a QA perspective  Requirements: Understanding of data warehouses, data lakes, data marts, and core data engineering concepts Knowledge of ETL/ELT processes and data-driven testing of end-to-end data flows Strong experience with SQL, including aggregations, joins, unions, CTEs, and window functions Experience with database testing, report testing, and data validation workflows Knowledge of Snowflake and experience with dbt (Jinja templates, YAML configuration, SQL models) Familiarity with data visualization tools (preferably ThoughtSpot) Experience with Python, Jupyter, and Pandas for data analysis and QA tasks Familiarity with BDD frameworks (Cucumber) Understanding of AWS services such as S3, Athena, and QuickSight Knowledge of data modeling, data mining, and BI/data warehouse concepts Knowledge of English at B2 level (minimum)  Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program

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Wyświetlenia: 33
Opublikowanaokoło 2 miesiące temu
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Rodzaj umowyB2B
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