2 months 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 maintain uninterrupted data flow.
- Optimize data processing for performance and reliability.
- Document data processes and workflows.
- Collaborate with cross-functional teams to understand requirements and deliver scalable solutions.
- Participate in team discussions and provide solutions to work-related problems.
- Guide and support junior team members.
- Work independently and develop subject-matter expertise.
Requirements
- At least 3 years of experience with Databricks Unified Data Analytics Platform.
- At least 3 years of professional experience overall.
- 15 years of full-time education.
- Experience building and managing scalable data pipelines and workflows.
- Strong knowledge of data integration and ETL processes.
- Familiarity with cloud-based data storage and processing solutions.
- Understanding of data governance and data quality assurance practices.
- Ability to optimize data processing for performance and reliability.
Benefits
- Position based at the Accenture office in Bengaluru.
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.