14 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage data pipelines, workflows, and ETL processes across systems.
- Lead the design and implementation of scalable data architectures.
- Ensure data quality, optimize processing performance, and troubleshoot complex data issues.
- Collaborate with stakeholders and multiple teams to translate data needs into technical specifications.
- Serve as an SME, make team decisions, and provide solutions across teams.
- Mentor junior team members and improve existing data processes for efficiency and reliability.
Requirements
- At least 5 years of experience with Databricks Unified Data Analytics Platform.
- At least 5 years of experience in data engineering and building or managing data pipelines and workflows.
- Strong knowledge of data integration techniques and ETL processes.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to optimize data processing performance and troubleshoot complex data issues.
- 15 years of full-time education required.
Benefits
- Position based at the company’s Hyderabad office.
Tech Stack
Databricks
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.