Lead QA Data Engineer (Telangana)

Job Summary: - We are seeking a highly skilled Lead QA Data Engineer to head our data quality assurance efforts. - In this role, you will be responsible for developing and executing comprehensive testing strategies for our data pipelines, data warehouses, and data products. - You will lead a team of QA engineers focused on data integrity, performance, and reliability. - Your expertise in data engineering and quality assurance will ensure that our data platforms support critical business decisions with high confidence. Key Responsibilities: - - Lead and mentor a team of QA engineers in testing data-centric systems, including ETL pipelines, data lakes, and data warehouses. - - Design, develop, and implement automated test frameworks for data validation, reconciliation, and performance testing. - - Create comprehensive test plans and test cases that verify data accuracy, completeness, and timeliness across all stages of data processing. - - Perform data profiling and develop data quality metrics to identify data anomalies and prevent data issues. - - Collaborate with data engineers, data architects, and business analysts to understand data requirements and ensure test coverage. - - Troubleshoot and resolve complex data issues in production and non-production environments. - - Drive improvements in data quality processes, tools, and methodologies. Required Qualifications: - - Bachelor's degree in Computer Science, Information Systems, or a related field. - - 7+ years of experience in data QA, data engineering, or a related field, with 2+ years in a leadership capacity. - - Strong proficiency in SQL and experience with major RDBMS platforms. - - Experience with data testing and ETL validation tools (e.g., QuerySurge, ICEDQ, Great Expectations). - - Hands-on experience with big data technologies and platforms like Azure Databricks, AWS EMR, or Google BigQuery. - - Familiarity with data warehousing concepts, ETL/ELT processes, and data modeling. Preferred Qualifications: - - Experience with data governance and data security testing. - - Knowledge of Python or Scala for test automation. - - Experience with cloud data platforms (AWS, Azure, GCP). Key Competencies: - - Leadership: Proven ability to lead a technical QA team. - - Analytical Thinking: Solid problem-solving and analytical skills for complex data issues. - - Technical Expertise: Deep understanding of data engineering and data quality principles. - - Collaboration: Effective communication and teamwork skills. .