Test Lead

MUST HAVE: ACTIVE SC CLEARANCE (SECURITY CLEARED CANDIDATES ONLY)

About the Role

We are seeking an experienced Data Test Lead with strong expertise in Databricks and Talend to lead end-to-end data validation, quality assurance, and testing strategies across modern data platforms. The ideal candidate will have a solid background in data engineering testing, ETL validation, and cloud-based data ecosystems.

Key Responsibilities

• Lead and manage data testing initiatives across projects involving Databricks and Talend pipelines
• Design, develop, and implement robust data validation frameworks and testing strategies
• Perform ETL/ELT testing, including source-to-target validation, data reconciliation, and transformation testing
• Collaborate with data engineers, analysts, and business stakeholders to ensure data accuracy and integrity
• Develop and maintain automated test scripts for large-scale data pipelines
• Validate data workflows in cloud environments (AWS/Azure/GCP) integrated with Databricks
• Ensure data quality through profiling, anomaly detection, and governance practices
• Lead defect management, root cause analysis, and resolution tracking
• Mentor and guide junior testers and ensure adherence to testing best practices

Required Skills & Qualifications

• 7+ years of experience in data testing / ETL testing
• Hands-on experience with Databricks (Spark, PySpark, SQL)
• Strong expertise in Talend ETL tools
• Proficiency in SQL and data validation techniques
• Experience with data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
• Familiarity with test automation frameworks for data pipelines
• Strong understanding of data quality, governance, and lineage
• Experience working in Agile/Scrum environments

Good to Have

• Experience with Python or Scala for data validation
• Knowledge of CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions)
• Exposure to big data ecosystems and distributed processing
• Certifications in Databricks or cloud platforms

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