4 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, processing, integration, and migration.
- Build, manage, monitor, and optimize scalable data pipelines and ETL workflows.
- Ensure data quality, integrity, performance, and reliability across data systems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and contribute solutions to work-related problems.
- Participate independently as a subject matter expert and provide guidance to junior team members.
Requirements
- At least 3 years of experience with Databricks Unified Data Analytics Platform.
- At least 3 years of experience is required overall.
- Experience building and managing scalable data pipelines and ETL processes.
- Strong knowledge of data integration, transformation, and migration techniques.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to troubleshoot and resolve data quality and pipeline issues.
- Understanding of data governance and security best practices.
- Completion of 15 years of full-time education is required.
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.