4 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Lead the development and optimization of scalable data pipelines.
- Design and implement ETL processes for data migration and deployment across systems.
- Manage data pipeline orchestration and workflow management.
- Ensure data quality and adherence to governance and compliance standards.
- Troubleshoot and optimize data workflows for performance and reliability.
- Collaborate with multiple teams, contribute to key decisions, and provide solutions across teams.
- Mentor junior team members and help manage team performance.
Requirements
- At least 5 years of experience with Databricks Unified Data Analytics Platform.
- At least 5 years of professional experience overall.
- Experience designing and implementing scalable ETL processes.
- Strong knowledge of data pipeline orchestration and workflow management.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and optimize data workflows for performance and reliability.
- Understanding of data quality frameworks and best practices.
- 15 years of full-time education.
Benefits
- Position based at the employer’s 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.