21 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage scalable data pipelines and workflows.
- Implement ETL processes to migrate and deploy data across systems.
- Monitor and troubleshoot data pipeline issues to ensure uninterrupted data flow.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Optimize data processing for performance and reliability.
- Document data processes and workflows.
- Participate in team discussions, contribute solutions to work-related problems, and provide guidance to junior team members.
Requirements
- At least three years of experience with the Databricks Unified Data Analytics Platform.
- At least three years of overall experience is required.
- Strong knowledge of data integration techniques and ETL processes.
- Experience building and managing scalable data pipelines and workflows.
- Familiarity with cloud-based data storage and processing solutions.
- Understanding of data governance and data quality assurance practices.
- Ability to work independently, contribute as a subject-matter expert, and collaborate cross-functionally.
- Completion of 15 years of full-time education.
Benefits
- The position is based at the Bengaluru 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.