Data Analytics Test Lead

About the Company

Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The companys 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 Groups 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.