4 days ago
Pune, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions, pipelines, and ETL processes.
- Optimize large-scale data processing and support data migration and deployment across systems.
- Ensure data quality through validation, cleansing, and monitoring.
- Troubleshoot and resolve complex data engineering issues.
- Serve as an SME, contribute to team decisions, and provide solutions across multiple teams.
- Mentor junior team members and lead data-related problem resolution efforts.
Requirements
- At least 5 years of experience with Databricks Unified Data Analytics Platform.
- At least 5 years of professional experience overall.
- Experience designing and optimizing data pipelines for large-scale data processing.
- Strong knowledge of data integration techniques and ETL implementation.
- Ability to ensure data quality through validation, cleansing, and monitoring.
- Familiarity with cloud-based data platforms and distributed computing environments.
- 15 years of full-time education is required.
Benefits
- Position based at the company'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.