23 days ago
Chennai, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage scalable data pipelines and workflows.
- Implement ETL processes to migrate and deploy data across systems.
- Monitor and optimize data workflows for performance and reliability.
- Troubleshoot and resolve data quality and pipeline issues.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and maintain communication about data architecture and pipeline status.
- Provide guidance to junior team members and contribute to team discussions and problem solving.
- Work independently and develop subject matter expertise.
Requirements
- At least 3 years of experience with Databricks Unified Data Analytics Platform.
- At least 3 years of overall experience is required.
- Proficiency in Databricks Unified Data Analytics Platform.
- Experience building and managing scalable data pipelines and workflows.
- Strong understanding of data integration techniques and ETL processes.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve data quality and pipeline issues.
- Knowledge of scripting and programming languages relevant to data engineering.
- 15 years of full-time education is required.
Benefits
- The position is based at the Chennai 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.