2 months ago
Chennai, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create, monitor, and optimize scalable data pipelines for performance and reliability.
- Implement ETL processes to migrate and deploy data across systems.
- Ensure data quality, integrity, and accuracy throughout the data lifecycle.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Document data processes and workflows to support clarity and knowledge sharing.
- Work independently, contribute to team discussions, and provide solutions to work-related problems.
- Provide guidance and support to junior team members and serve as a subject matter expert.
Requirements
- At least 2 years of experience in data engineering.
- Proficiency in data engineering, data architecture principles, Databricks Unified Data Analytics Platform, and Microsoft Azure Data Services.
- Strong knowledge of data pipeline development and management.
- Experience with cloud-based data storage and processing solutions.
- Ability to work with large datasets and ensure data integrity.
- Familiarity with data integration techniques and best practices.
- Understanding of performance tuning and troubleshooting in data environments.
- 15 years of full-time education.
Benefits
- The position is based at the CDC2E - SEZ location.
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.