27 days ago
Bhubaneshwar, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage scalable data pipelines and ETL workflows across systems.
- Monitor, troubleshoot, and optimize data workflows for performance and reliability.
- Ensure data quality and support data migration and deployment.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes, architecture, and pipeline status.
- Contribute solutions to work-related problems and participate in team discussions.
- Share knowledge and provide guidance to junior team members.
Requirements
- At least 3 years of experience with PySpark.
- Experience building and managing scalable data pipelines and workflows.
- Strong understanding of data-processing frameworks and distributed computing.
- Ability to troubleshoot and optimize complex data-processing tasks.
- Familiarity with data-storage solutions and data-integration techniques.
- Knowledge of performance tuning and resource management in big-data environments.
- 15 years of full-time education.
Benefits
- Position based at the Accenture office in Indore.
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.