2 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data generation, collection, and processing solutions.
- Build and manage scalable data pipelines and ETL processes across systems.
- Ensure data quality and implement data validation methods.
- Manage data storage solutions and database environments.
- Troubleshoot and resolve data-related issues.
- Lead efforts to optimize data workflows and system performance.
- Serve as an SME, manage team activities, and make team decisions.
- Collaborate with multiple teams and stakeholders on data engineering priorities.
- Mentor junior team members and coordinate data engineering efforts with business objectives.
Requirements
- At least 5 years of experience with Python frameworks.
- Experience building and managing scalable data pipelines and ETL processes.
- Strong knowledge of data storage solutions and database management.
- Ability to troubleshoot and resolve data-related issues.
- Familiarity with cloud-based data services and integration techniques.
- Understanding of data quality assurance and validation methods.
- 15 years of full-time education required.
Benefits
- The position is based at the DDC 1A - STPI location.
Tech Stack
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.