24 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create and optimize scalable data pipelines and ETL processes for data migration and deployment.
- Ensure data quality, workflow reliability, performance, and scalability.
- Serve as a subject matter expert, make team decisions, and provide solutions across multiple teams.
- Mentor junior team members and coordinate cross-functional data engineering initiatives.
Requirements
- At least 7.5 years of professional experience is required.
- At least 8 years of experience with Amazon Web Services (AWS) is stated in the additional information.
- Proficiency in Amazon Web Services (AWS) and AWS Glue is required.
- Strong knowledge of cloud-based data storage and processing architectures is required.
- Experience designing and implementing scalable ETL pipelines is required.
- Familiarity with cloud-based data integration and migration strategies is required.
- Ability to troubleshoot and optimize data workflows for performance and reliability is required.
- 15 years of full-time education is required.
Benefits
- The position is based at the DDC5E - SEZ location.
Tech Stack
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.