4 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build, manage, monitor, and optimize scalable data pipelines and ETL processes.
- Implement data migration and deployment across systems while ensuring data quality.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and workflows for clarity and maintainability.
- Troubleshoot data quality and pipeline issues and contribute solutions to work-related problems.
- Participate in team discussions and independently perform as a subject matter expert.
- Provide guidance and support to junior team members.
Requirements
- At least 3 years of experience with Databricks Unified Data Analytics Platform.
- At least 3 years of professional experience overall.
- Experience building and managing scalable ETL pipelines.
- Strong knowledge of data integration and transformation techniques.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve data quality and pipeline issues.
- Understanding of data governance and security best practices.
- 15 years of full-time education required.
Benefits
- Position based at the Hyderabad office.
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.