Data Analytics Test Lead

Job Description

About the Company Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company?s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group?s 170-year heritage of building sustainable communities. Responsibilities Test strategy and planning: Design and develop comprehensive test strategies, test plans, and test cases for ETL workflows and data pipelines. Team leadership: Lead and mentor the ETL testing team, allocating tasks, and providing technical guidance. Collaboration: Work closely with business analysts, data engineers, and developers to understand requirements and resolve issues. Quality Metrices: Monitor and analyse data quality metrics, identifying and resolving data issues. Data validation: Perform data validation, reconciliation, and verification between source and target systems using SQL and other tools to ensure data accuracy and completeness. Test execution: Oversee the execution of test cases and automation scripts. Defect management: Identify, document, and track defects, working with developers to ensure timely resolution. Reporting: Monitor and report on testing progress, quality metrics, and defect summaries to stakeholders. Documentation: Create and maintain documentation for test plans, results, and process maps. Qualifications Experience: 7+ years of experience in IT, and 4+ years of experience as Test Lead with a focus on ETL and Data Analytics testing and a proven ability to lead a team. Required Skills Strong proficiency in SQL for data validation and analysis. Knowledge of data warehousing concepts and ETL/ELT processes. Experience with ETL and Data Analytics tools (e.g., Azure notebook, Data Bricks, Power BI). Familiarity with test management and defect tracking tools (e.g., ADO). Good Database and Data Warehousing testing knowledge. Experience with test automation tools and frameworks (e.g., Python, PySpark). Experience managing a team of QA Engineers. Understanding of software development lifecycle and best practices. Strong knowledge of software quality assurance best practices & methodologies. Excellent communication and stakeholder management skills. Strong leadership and problem-solving abilities. Analytical and detail-oriented mindset.