2 months ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage scalable data pipelines, workflows, and ETL processes across systems.
- Monitor, troubleshoot, and optimize data workflows, processing performance, and resource usage.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes, data architecture, and pipeline status.
- Participate independently as a subject matter expert and contribute solutions to work-related problems.
- Share knowledge with junior team members and provide guidance on best practices.
Requirements
- At least 3 years of experience with PySpark is required.
- Proficiency in PySpark is required.
- 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 is required.
Benefits
- The position is based at Accenture’s Indore office.
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.