2 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create, optimize, monitor, and troubleshoot data pipelines for large-scale data processing.
- Implement ETL processes to migrate and deploy data across systems.
- Design data models and schemas for NoSQL databases.
- Ensure data quality, consistency, accuracy, and system reliability.
- Perform MongoDB performance tuning and query optimization.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and workflows.
- Work independently as a subject matter expert and contribute solutions to work-related problems.
- Assist junior team members with data engineering concepts and best practices.
Requirements
- At least 3 years of experience in MongoDB is required.
- Proficiency in MongoDB is required.
- Experience designing and optimizing data pipelines for large-scale data processing.
- Strong knowledge of data modeling and schema design in NoSQL databases.
- Familiarity with data integration techniques and ETL implementation.
- Ability to work with distributed data systems and ensure data consistency.
- Understanding of performance tuning and query optimization in MongoDB environments.
- 15 years of full-time education is required.
Benefits
- The position is based at the BDC14A - STPI office.
Tech Stack
MongoDB
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.