2 months ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create data pipelines and implement ETL processes to migrate and deploy data across systems.
- Monitor and optimize data workflows for improved performance and reliability.
- Troubleshoot and resolve data quality issues.
- Collaborate with cross-functional teams to understand data requirements and deliver appropriate solutions.
- Document data processes and communicate clearly with stakeholders.
- Participate independently as a subject matter expert and contribute to team discussions and problem solving.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Requirements
- At least 3 years of experience with Databricks Unified Data Analytics Platform.
- 15 years of full-time education.
- Proficiency in Databricks Unified Data Analytics Platform.
- Experience with AI Agents & Workflow Integration.
- Strong knowledge of data pipeline architecture and data ingestion and transformation best practices.
- Experience with cloud-based data platforms and scalable data processing frameworks.
- Ability to troubleshoot and resolve data quality issues.
- Familiarity with scripting and automation for data operations.
Benefits
- The position is based at the employer'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.