24 days ago
Kolkāta, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions, pipelines, and ETL processes.
- Monitor and optimize data pipelines for performance, reliability, and data quality.
- Collaborate with cross-functional teams to translate data requirements into technical solutions.
- Document data processes and workflows for clarity and knowledge sharing.
- Troubleshoot data-related issues and support data integration, migration, and deployment across systems.
- Contribute independently as a subject matter expert and provide guidance to junior team members.
Requirements
- At least 3 years of experience with Databricks Unified Data Analytics Platform.
- At least 3 years of professional experience is required.
- Experience designing and implementing scalable data pipelines and ETL processes.
- Knowledge of data integration techniques and data quality assurance.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot data-related issues efficiently.
- Understanding of data governance and security best practices.
- 15 years of full-time education is required.
Benefits
- The position is based at the KDC1A - SEZ location.
Tech Stack
Databricks
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.