24 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, processing, migration, and deployment.
- Create, lead, and optimize data pipelines, workflows, and ETL processes for performance, reliability, and data quality.
- Act as a subject matter expert, manage the team, make team decisions, and provide solutions across multiple teams.
- Collaborate with stakeholders and multiple teams to align data engineering work with business and project requirements.
- Facilitate knowledge sharing and mentor team members.
Requirements
- At least 12 years of professional experience is required.
- At least 7 years of experience in Machine Learning Operations is required.
- Proficiency in Machine Learning Operations is required.
- Experience with Amazon Web Services is preferred.
- Strong understanding of data pipeline architecture and orchestration tools is required.
- Experience designing scalable and robust ETL processes is required.
- Familiarity with data storage solutions and data integration techniques 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 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.