Strong Junior/Middle Data QA Engineer

11 Minutes ago • 2 Years +
Quality Assurance

Job Description

N-iX is seeking a Strong Junior/Middle Data QA Engineer for an e-commerce project. This role involves testing, validating, and maintaining a new Data Lakehouse solution, focusing on data quality, accuracy, and reliability. The client is a global e-commerce and subscription billing platform. You will collaborate with cross-functional teams to ensure the quality and integrity of data pipelines, transformations, and reports, contributing to a next-generation data platform.
Good To Have:
  • Experience with any BI tool (Power BI, Tableau, etc.).
  • Familiarity with cloud data platforms (AWS, Snowflake, or similar).
  • Exposure to ETL orchestration (Airflow, Glue, etc.).
  • Interest in data quality automation or scripting-based testing.
  • Prior experience in data QA, data analytics, or data operations.
Must Have:
  • Test and validate new data engineering features, ETL/ELT processes, and Power BI reports for data accuracy, completeness, and business rule alignment.
  • Verify data integrity across multiple layers: source systems, staging (AWS/Snowflake), and reporting (Power BI).
  • Design and execute data quality checks, reconciliation scripts, and validation routines using SQL and/or scripting (Python preferred).
  • Identify discrepancies or anomalies in data early and work with engineering teams to resolve root causes.
  • Create and maintain test plans, test cases, and test data for both functional and non-functional aspects of data products.
  • Collaborate with product owners to translate requirements into measurable validation criteria.
  • Support root cause analysis and contribute to continuous improvement of data governance and observability.
  • 2+ years of experience in QA.
  • Strong SQL (joins, filtering, aggregations, CTEs, window functions) for data validation and reconciliation.
  • Advanced Excel (pivot tables, formulas, lookups, data comparison).
  • Understanding of SDLC/STLC, agile processes, and QA documentation standards (test cases, bug lifecycle).
  • Experienced writing clear test cases, documenting results, and concise bug reports.
  • Analytical mindset and strong attention to detail.
  • Ability to work independently within a data-driven environment.
  • Intermediate+ English.
Perks:
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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N-iX is looking for a Strong Junior/Middle Data QA Engineer to join a project in the e-commerce domain. You will be involved in testing, validating, and maintaining a new Data Lakehouse solution. This role combines hands-on QA work with a focus on data quality, accuracy, and reliability.

Our Client is a global full-service e-commerce and subscription billing platform on a mission to simplify software sales everywhere. For nearly two decades, we’ve helped SaaS, digital goods, and subscription-based businesses grow by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale. Our flexible, cloud-based platform, combined with consultative services, helps clients accelerate growth, reach new markets, and build long-term customer relationships.

Data is at the core of every decision we make. We are building a next-generation data platform that powers analytics, insights, and innovation. As part of the team, you will collaborate with cross-functional teams (Data and Software Architects, Engineering Managers, Product Owners, and Data/Power BI/QA Engineers) and help ensure the quality and integrity of data pipelines, transformations, and reports.

Key Responsibilities

  • Test and validate new data engineering features, ETL/ELT processes, and Power BI reports for data accuracy, completeness, and business rule alignment.
  • Verify data integrity across multiple layers: source systems, staging (AWS/Snowflake), and reporting (Power BI).
  • Design and execute data quality checks, reconciliation scripts, and validation routines using SQL and/or scripting (Python preferred).
  • Identify discrepancies or anomalies in data early and work with engineering teams to resolve root causes.
  • Create and maintain test plans, test cases, and test data for both functional and non-functional aspects of data products.
  • Collaborate with product owners to translate requirements into measurable validation criteria.
  • Support root cause analysis and contribute to continuous improvement of data governance and and observability.
  • Optionally, perform exploratory data analysis to detect trends or inconsistencies.

Requirements

  • 2+ years of experience in QA;
  • Strong SQL (joins, filtering, aggregations, CTEs, window functions) for data validation and reconciliation.
  • Advanced Excel (pivot tables, formulas, lookups, data comparison).
  • Understanding of SDLC/STLC, agile processes, and QA documentation standards (test cases, bug lifecycle).
  • Experienced writing clear test cases, documenting results, and concise bug reports.
  • Analytical mindset and strong attention to detail.
  • Ability to work independently within a data-driven environment.
  • Intermediate+ English;

Nice to Have

  • Experience with any BI tool (Power BI, Tableau, etc.)
  • Familiarity with cloud data platforms (AWS, Snowflake, or similar).
  • Exposure to ETL orchestration (Airflow, Glue, etc.)
  • Interest in data quality automation or scripting-based testing.
  • Prior experience in data QA, data analytics, or data operations.

We offer*

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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