24 days ago
Bhubaneshwar, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create, optimize, and scale data pipelines and ETL workflows.
- Ensure data integration, data quality, and integrity across the data lifecycle.
- Troubleshoot complex data-processing issues and optimize performance for large datasets.
- Act as a subject matter expert, contribute to team decisions, and provide solutions across multiple teams.
- Mentor junior team members and coordinate cross-functional data engineering initiatives.
Requirements
- At least five years of experience with Databricks Unified Data Analytics Platform.
- At least five years of overall professional experience.
- Experience designing and implementing scalable data pipelines and ETL workflows.
- Strong knowledge of data integration and data quality assurance practices.
- Familiarity with cloud-based data storage and processing solutions.
- Experience working with large datasets and optimizing data-processing performance.
- 15 years of full-time education.
Benefits
- The position is based at the Bhubaneswar 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.