Data Analytics Test Lead

19 hours ago

Meerut, India Birlasoft Full time

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.

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