Work Model: Hybrid 3 days/week from office
Joining: Immediate
Role Overview
We are looking for experienced Data Quality Engineers with strong expertise in data testing, validation, reconciliation, SQL, Python/PySpark, and test automation. The ideal candidate should have hands-on experience working with ETL/Big Data environments and cloud data platforms.
Key Responsibilities
- Perform ETL and Big Data testing across data pipelines and data platforms.
- Validate data accuracy, completeness, consistency, and integrity across source and target systems.
- Perform data reconciliation and identify data quality issues across different systems.
- Develop and execute complex SQL queries for data validation and testing.
- Use Python/PySpark for data processing, validation,
and test automation.
- Design, develop, and maintain automation test frameworks for data testing.
- Work with cloud-based data services across AWS, Azure, or GCP.
- Collaborate with development, data engineering, and business teams to identify and resolve data quality issues.
Mandatory Skills
- Solid experience in ETL / Big Data Testing
- Data Quality & Data Validation
- Data Reconciliation
- Advanced SQL
- Python / PySpark
- Experience building or working with Automation Test Frameworks
- Hands-on experience with at least one cloud platform: AWS / Azure / GCP