1 month ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create scalable data pipelines and implement ETL processes for data migration and deployment.
- Lead the design and implementation of scalable data architectures.
- Ensure data quality and validate data throughout its lifecycle.
- Serve as a subject matter expert, make team decisions, and provide solutions across multiple teams.
- Mentor junior team members and coordinate cross-functional data workflow optimization.
- Troubleshoot and optimize ETL processes for performance and reliability.
Requirements
- A minimum of 7.5 years of experience with Databricks Unified Data Analytics Platform is required.
- Proficiency in Databricks Unified Data Analytics Platform and Microsoft Azure Data Services.
- Strong knowledge of data pipeline development and orchestration techniques.
- Experience with data quality assurance and validation methods.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and optimize ETL processes.
- 15 years of full-time education is required.
Benefits
- The position is based at the Accenture 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.