26 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and optimize scalable data pipelines and workflows, including ETL processes for data migration and deployment.
- Lead the design and implementation of scalable data architectures.
- Ensure data quality and apply data integration, governance, and security practices.
- Troubleshoot and resolve complex data processing issues.
- Serve as a subject matter expert, make team decisions, and provide solutions across multiple teams.
- Mentor junior team members and coordinate cross-functional data strategy efforts.
Requirements
- Minimum 12 years of experience with Databricks Unified Data Analytics Platform.
- Proficiency in Databricks Unified Data Analytics Platform.
- Experience building and optimizing data pipelines and workflows using modern data engineering tools.
- Strong knowledge of data integration techniques and data quality assurance best practices.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot complex data processing issues.
- Understanding of data governance and security principles.
- 15 years of full-time education.
Benefits
- Position based at the 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.