24 days ago
Gurgaon, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions, pipelines, and ETL processes.
- Support data generation, collection, processing, migration, and deployment across systems.
- Ensure data quality through validation and assurance techniques.
- Monitor and optimize data workflows for performance and reliability.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and communicate clearly with stakeholders.
- Contribute solutions to work-related problems and participate in team discussions.
- Assist junior team members with data engineering concepts and best practices.
Requirements
- At least 2 years of experience in Data Engineering.
- 15 years of full-time education.
- Proficiency in Data Engineering.
- Experience designing and implementing data pipelines and ETL processes.
- 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 distributed computing.
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.