13 days ago
Pune, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions, pipelines, and ETL processes.
- Monitor and troubleshoot data pipelines to ensure reliable data delivery.
- Validate data accuracy, completeness, and consistency across multiple sources.
- Analyze and resolve data discrepancies and pipeline failures.
- Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
- Document processes and workflows and contribute to team discussions and problem-solving.
- Provide guidance and support to junior team members while working independently toward subject-matter expertise.
Requirements
- At least 2 years of experience in Data Warehouse ETL Testing.
- Proficiency in Data Warehouse ETL Testing.
- Strong knowledge of data integration techniques and ETL tools.
- Familiarity with database technologies and query languages.
- Understanding of data quality frameworks and data validation best practices.
- 15 years of full-time education is required.
Benefits
- The position is based at the company's Pune office.
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.