7 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Lead the development and optimization of data pipelines to support business needs.
- Design and implement scalable ETL processes for data migration and deployment across systems.
- Ensure data quality, governance, compliance, performance, and reliability of data workflows.
- Collaborate with multiple teams and contribute to cross-team technical decisions.
- Act as a subject matter expert and manage the team’s execution and decisions.
- Mentor junior team members and support knowledge sharing.
Requirements
- At least 12 years of experience, including a minimum of 12 years working with Databricks Unified Data Analytics Platform.
- Proficiency in Databricks Unified Data Analytics Platform.
- Experience designing and implementing scalable ETL processes.
- Strong knowledge of data integration techniques and data pipeline orchestration.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and optimize data workflows for performance and reliability.
- Understanding of data quality frameworks and best practices.
- 15 years of full-time education.
Benefits
- Position based at the company’s 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.