4 days ago
Pune, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build scalable data pipelines and implement ETL processes for data migration and deployment across systems.
- Ensure data quality, optimize workflows, and troubleshoot complex data processing issues.
- Act as a subject matter expert, manage team activities, and contribute to decisions across multiple teams.
- Lead data-related problem resolution and coordinate cross-functional data engineering initiatives.
- Mentor junior team members and support alignment between data engineering efforts and business objectives.
Requirements
- At least 5 years of experience with Databricks Unified Data Analytics Platform.
- At least 5 years of overall experience is required.
- Experience building scalable data pipelines and managing large datasets.
- Strong knowledge of data integration techniques and ETL process design.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to optimize data workflows for performance and reliability and resolve complex data processing issues.
- 15 years of full-time education is required.
Benefits
- The position is based at the employer's Pune 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.