1 month ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create, monitor, and optimize scalable data pipelines for performance and reliability.
- Implement ETL processes to migrate and deploy data across systems.
- Ensure data quality through validation and quality assurance practices.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Document data processes and workflows.
- Troubleshoot and resolve data integration issues.
- Participate independently in team discussions, contribute solutions, and provide guidance to junior team members.
Requirements
- At least 3 years of experience with Microsoft Azure Databricks.
- 15 years of full-time education.
- Proficiency in Microsoft Azure Databricks.
- Experience with cloud-based data storage and processing platforms.
- Strong knowledge of data pipeline architecture and ETL frameworks.
- Familiarity with scripting languages for data manipulation and automation.
- Understanding of data quality assurance and validation techniques.
- Ability to troubleshoot and resolve data integration issues.
Benefits
- The position is based at the BDC14A - STPI office.
Tech Stack
AzureDatabricks
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.