7 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage scalable data pipelines, workflows, data architectures, and ETL processes.
- Ensure data quality and optimize data storage and retrieval for performance and scalability.
- Lead team decisions, collaborate across multiple teams, and provide cross-team solutions.
- Mentor team members and facilitate knowledge sharing.
- Coordinate with stakeholders on data engineering goals and project timelines.
Requirements
- At least 12 years of experience is required, including a minimum of 12 years using Databricks Unified Data Analytics Platform.
- Proficiency in Databricks Unified Data Analytics Platform is required.
- Experience building and managing data pipelines and workflows.
- Strong understanding of data integration and ETL processes.
- Ability to optimize data storage and retrieval for performance and scalability.
- Familiarity with cloud-based data platforms and distributed computing concepts.
- 15 years of full-time education is required.
Benefits
- This position is based at the employer'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.