9 days ago
Bhubaneshwar, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, processing, migration, and deployment.
- Create and optimize scalable data pipelines and extract, transform, and load processes.
- Lead the design and implementation of scalable data architectures aligned with business needs.
- Ensure data quality, governance, accuracy, and consistency across systems.
- Act as a subject matter expert, manage team performance, and make team decisions.
- Collaborate with multiple teams and provide solutions applicable across teams.
- Mentor junior team members and coordinate cross-functional data initiatives.
Requirements
- At least 12 years of experience is required, including a minimum of 12 years of experience with Reltio.
- Proficiency in Reltio, Data Architecture Principles, and AWS Architecture.
- Strong knowledge of data integration techniques and data pipeline best practices.
- Experience with cloud-based data platforms and Amazon Web Services services.
- Ability to design and optimize ETL processes for large-scale data migration.
- Familiarity with data governance and data quality assurance methodologies.
- 15 years of full-time education is required.
Benefits
- The position is based at the BBDC1A - NON-STPI 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.