symplr is seeking a highly skilled and motivated Senior Data Quality Engineer with 7+ years of experience to execute testing initiatives for our robust Data Platform . This role is instrumental in maintaining the integrity, reliability, and performance of our data systems. The ideal candidate will bring strong expertise in ETL testing, data validation, AWS-based data workflows , and Power BI reports, with a solid foundation in Test A utomation and scripting.
Duties & Responsibilities
- Contribute to the development and execution of data quality strategies and best practices to support the organization's data initiatives.
- ETL Testing : Design and perform thorough ETL tests, including test case development, data validation, transformation accuracy, end-to-end pipeline testing , and performance testing .
- AWS Data Pipeline Monitoring : Support the monitoring and optimization of AWS-based pipelines using services like Glue, S3, Athena, MSK, SQS, Lambda, Step Functions etc to ensure data accuracy, completeness, and reliability .
- Automation & Scripting : Develop Python-based scripts to automate data quality checks and validation processes.
- Power BI Reports : Ensure data accuracy and consistency in Power BI reports by validating data lineage, transformation logic, and report outputs against source systems.
- Collaboration: Work alongside data engineers, analysts, and business stakeholders to understand data flows and resolve data quality issues.
- Documentation: Maintain clear and detailed documentation of testing procedures, test results, and quality metrics.
Skills Required
- 5 + years of experience in data quality engineering, data testing, or related fields.
- Strong hands-on experience with ETL testing and data validation techniques.
- Experience working with AWS data services, including Glue, S3, Athena, MSK, SQS, Lambda, Step Functions , etc .
- Proficiency in SQL and Python (or any other OOP languages like Java, C#, C++, etc )
- Experience validating data in Power BI reports, including understanding of data models and report logic.
- Familiarity with test management tools such as Azure DevOps, Zephyr, or equivalent.
- Experience working in Agile environments (Scrum/Kanban).
- Exposure to data governance principles or data observability tools is a plus.
- Strong problem-solving skills and a proactive approach to identifying and resolving data quality issues.
- Good communication skills and the ability to work effectively with cross-functional teams.
- Continuous learning mindset and willingness to adapt to new technologies and techniques.
