# Data QA engineer

**Company**: Ajax Systems
**Location**: Kyiv
**Work arrangement**: onsite
**Experience**: mid
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/ajax/033c2275-61b6-48e1-9b22-8d5f3f98de8e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-qa-engineer-47f7b7cc-568/

## Description

Ajax Systems, a leading international technology company and Europe's largest security system manufacturer, seeks a Data QA Engineer (Middle) for its Data Warehouse & Analytics team. The successful candidate will help build a systematic approach to data testing and ensure data quality at all stages of processing.

**About the Role:** The Data QA Engineer will be responsible for developing and improving data testing processes, ensuring data accuracy, completeness, and consistency. This involves testing ETL/ELT processes, verifying data against business requirements, and collaborating with Data Engineers, Business Analysts, and other teams to resolve data discrepancies.

**Key Responsibilities:**

- Develop and enhance data testing processes within the Data Warehouse & Analytics team.

- Test ETL/ELT processes and verify data correctness and transformation from sources like SAP, 1С to Databricks.

- Validate data against business requirements across all processing stages.

- Conduct Data Validation and Source-to-Target Reconciliation.

- Identify data anomalies such as duplicates, missing records, and incorrect values.

- Create and maintain test cases and scenarios.

- Develop automated data testing, including regression checks.

- Verify data correctness after changes in data pipelines or business logic.

- Participate in testing master data preparation for SAP implementation.

- Analyze data discrepancies and collaborate with teams to resolve them.

**Requirements:**

- At least 2 years of commercial experience in Data QA, ETL QA, DWH QA, or Software QA with a focus on data testing.

- Strong SQL skills.

- Knowledge of Python and its application for data testing and automation.

- Understanding of Quality Engineering principles and practical approaches to testing.

- Familiarity with ETL/ELT processes and Data Warehouse architecture.

- Knowledge of Data Quality, Data Validation, and Data Governance principles.

- Experience with data transformation verification and business requirement compliance.

- Analytical mindset and ability to work with complex business logic.

- Proactive, systematic approach with strong communication skills.

- Intermediate level of English for documentation and international team collaboration.

**Nice to Have:**

- Practical experience in automating Data Quality/Validation tests.

- Experience with Databricks, PySpark, Spark.

- Familiarity with Python-based testing frameworks.

- Experience with SAP integrations and DWH.

- Background in building testing processes from scratch.

- Understanding of CI/CD and test integration in development processes.

- Experience with large data volumes and multi-source integrations.

- Familiarity with BI solutions like Power BI.

**What We Offer:**

- Participation in large-scale international projects.

- Opportunity to develop Data QA processes and tools.

- Work with modern tech stack: Databricks, Python, SQL, PySpark.

- Collaboration with Data Engineers, SAP specialists, and business analysts.

- Professional growth opportunities.

- Office work in a comfortable, generator-equipped office with shelter.

- Official employment with stable payment.

- Flexible schedule.

- Learning compensation.

- English language classes.

- Medical insurance.

- Ajax system security kit.

- Dynamic team and zero-bullshit culture.

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- SQL
- Python
- Quality Engineering
- ETL/ELT processes
- Data Quality
- Data Validation
- Data Reconciliation
- Data Governance
- Databricks
- PySpark
- Spark

### Nice to have
- Practical experience in automating Data Quality/Validation tests
- Experience with Python-based testing frameworks
- Experience with SAP integrations and DWH
- Background in building testing processes from scratch
- Understanding of CI/CD and test integration in development processes
- Experience with large data volumes and multi-source integrations
- Familiarity with BI solutions like Power BI

---

Source: [Apply at jobs.lever.co](https://jobs.lever.co/ajax/033c2275-61b6-48e1-9b22-8d5f3f98de8e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)