Data Quality Engineer

4 weeks ago

Bengaluru India symplr Full time

Job Description 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.

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