Data QA Specialist

Who We Are

Lumicode Sp. z o.o. is part of the Pentacomp Group, a provider of IT solutions and professional IT services for large enterprises and the public sector.

As Pentacomp, we create IT solutions that combine innovation with years of experience - and we have quite a lot of it. We've been in the market for nearly 30 years and have successfully delivered many projects.

We are currently looking for a Data QA Specialist to join our team as soon as possible. You will play a critical role in ensuring the quality and reliability of our data pipelines within a Modern Data Stack environment. If you are passionate about Data Engineering principles and have a knack for automated testing in an ELT architecture, this is the place for you.

Tech Stack You Will Work With:

• Snowflake, dbt (Jinja, YAML), SQL

• AWS (S3, Athena, QuickSight)

• Python, Pandas, Jupyter

• ThoughtSpot

• BDD (Cucumber)

  
  

Key Responsibilities:

• Designing and executing testing strategies for data warehouses, data lakes, and data marts.

• Validating ELT processes (Snowflake and dbt) to ensure data accuracy and consistency.

• Writing advanced SQL queries (aggregations, joins, CTEs, window functions) to verify data flows.

• Automating testing scenarios using BDD frameworks (Cucumber) and Python.

• Collaborating with Data Engineers to troubleshoot issues in the pipeline.

• Verifying data visualization reports (ideally in ThoughtSpot) against source data.

  
  

Must-Have Requirements:

• Understanding of Data Warehousing, Data Modeling, and the difference between ETL vs. ELT (we utilize ELT).

• Proficiency in complex queries, including unions, CTEs, and window functions.

• Experience with dbt project structure, including Jinja templates and YAML configuration.

• Hands-on experience with Snowflake architecture.

• Experience with Database testing, Data-driven testing, and testing data flows.

• Ability to use Python (Pandas/Jupyter) for data manipulation and testing scripts.

• Familiarity with AWS services (S3, Athena).

  
  

Nice to Have:

• Experience with QuickSight.

• Background in Data Mining.