24 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions, pipelines, and ETL processes.
- Lead the development and optimization of data workflows for system performance and reliability.
- Manage data quality assurance and validation processes.
- Troubleshoot and resolve complex data integration challenges.
- Serve as an SME, manage the team, and make team decisions.
- Collaborate with multiple teams and provide solutions applicable across teams.
- Mentor junior team members and coordinate cross-functional data engineering initiatives.
Requirements
- At least 12 years of overall professional experience.
- At least 7 years of experience in Machine Learning Operations.
- Proficiency in Machine Learning Operations.
- Strong knowledge of data pipeline architecture and implementation techniques.
- Experience managing data quality assurance and validation processes.
- Familiarity with scalable data processing frameworks and tools.
- Ability to troubleshoot complex data integration challenges.
- 15 years of full-time education.
- AWS experience is preferred.
Benefits
- The position is based at the BDC11 - SEZ office.
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.