23 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions, pipelines, and ETL processes.
- Implement data migration and transformation workflows across systems.
- Monitor and troubleshoot data pipeline issues to maintain reliability and performance.
- Optimize query performance and manage large datasets efficiently.
- Ensure data quality through validation and quality assurance methods.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and workflows.
- Provide guidance and support to junior team members and contribute to team problem-solving.
Requirements
- At least 3 years of experience is required.
- At least 3 years of experience with Google BigQuery is required.
- Proficiency in Google BigQuery.
- Experience designing and implementing ETL processes for data migration and transformation.
- Strong knowledge of data pipeline architecture and data integration techniques.
- Familiarity with cloud-based data storage and processing platforms.
- Ability to optimize query performance and manage large datasets.
- Understanding of data quality assurance and validation methods.
- 15 years of full-time education is required.
Benefits
- The position is based at the Accenture office in Bengaluru.
Tech Stack
Google BigQuery
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.