2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions, pipelines, and ETL processes across systems.
- Ensure data quality through validation, quality assurance, and lifecycle monitoring.
- Optimize data workflows for performance, scalability, and large-dataset processing.
- Serve as a subject matter expert, make team decisions, and provide solutions across multiple teams.
- Lead efforts to resolve data-related challenges and improve system performance.
- Mentor junior team members and coordinate cross-functional data initiatives.
Requirements
- At least 7.5 years of experience in Data Analytics and data engineering practices.
- Proficiency in Data Analytics is required.
- Strong knowledge of data pipeline architecture and data integration techniques.
- Experience with data quality assurance and validation methods.
- Familiarity with ETL process design and implementation.
- Ability to work with large datasets and optimize workflows for performance and scalability.
- Machine Learning experience is preferred.
- 15 years of full-time education is required.
Benefits
- The position is based at the employer's Bengaluru office.
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.