20 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Lead the development and optimization of scalable data pipelines.
- Design and implement ETL processes for large volumes of data.
- Ensure data quality, integrity, consistency, migration, and deployment across systems.
- Collaborate with multiple teams and coordinate cross-functional data initiatives.
- Serve as a subject matter expert, contribute to team decisions, and provide solutions across teams.
- Mentor junior team members and drive continuous improvement in data processing efficiency and reliability.
Requirements
- At least 5 years of experience in Data Engineering.
- Proficiency in Data Engineering.
- Experience designing and implementing ETL processes for large data volumes.
- Strong knowledge of data warehousing concepts and architecture.
- Familiarity with cloud-based data platforms and tools for data storage and processing.
- Ability to work with varied data formats and maintain data quality and consistency.
- Experience with scripting and automation for data workflows.
- 15 years of full-time education.
Benefits
- Position based at the employer's Hyderabad 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.