Job Description Seeking Data Quality Engineers to support quality assurance efforts across a large enterprise data ecosystem. This team will ensure the accuracy, reliability, and integrity of data as the organization continues its migration and modernization initiatives. The ideal candidate will have strong hands-on experience with PySpark, SQL, and Python, as well as experience validating large-scale data pipelines and supporting cloud-based data platforms. Responsibilities - Develop and execute data validation and testing strategies - Identify data quality issues across complex data pipelines - Validate ingestion processes from SQL Server, DB2, flat files, APIs, and other enterprise data sources - Partner with Data Engineers to ensure high-quality data delivery across modern data platforms - Create automated testing, monitoring, and telemetry solutions to proactively identify data issues - Support cloud-based data modernization initiatives - Track defects, testing progress, and project deliverables using Jira - Analyze large datasets using SQL, Python, and PySpark to identify anomalies and validate business rules We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal chance/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion,
sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
[email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - Strong experience with PySpark - Advanced SQL skills and database validation experience · Azure Databricks · Experience testing or validating APIs - ETL/data pipeline testing - Experience using Jira for defect tracking and Agile project management - Experience with telemetry, monitoring, and observability tools for data quality validation -Strong attention to detail and analytical problem-solving skills · Python · Hadoop experience · Automated testing frameworks · Data governance experience · Experience with enterprise data lake or medallion architecture environments - Experience working with large datasets in distributed data environments
📌 INTL - Data Quality Engineer - India (Hyderabad)
🏢 Insight Global
📍 Hyderabad