6 days ago
Pune, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create and optimize data pipelines and ETL processes for data migration and deployment across systems.
- Ensure data quality through validation and monitoring.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows for performance and reliability.
- Document data processes and communicate with stakeholders.
- Work independently as a subject matter expert and support junior team members through knowledge sharing and technical assistance.
Requirements
- At least 3 years of experience in Data Engineering.
- 15 years of full-time education.
- Proficiency in Data Engineering, including data pipeline and ETL implementation.
- Strong knowledge of data storage solutions and database management.
- Familiarity with data quality assurance and validation techniques.
- Ability to work with large datasets and optimize data processing workflows.
- Understanding of cloud-based data platforms and integration methods.
Benefits
- The position is based at the Accenture office in Pune.
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.