2 months ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create, monitor, and troubleshoot data pipelines for reliable data availability.
- Implement ETL processes to extract, transform, load, migrate, and deploy data across systems.
- Design and optimize database schemas, data models, and queries for performance and scalability.
- Ensure data quality, consistency, and integrity across the data lifecycle.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and workflows.
- Contribute to team discussions, independently solve work-related problems, and assist junior team members.
Requirements
- At least 3 years of experience with MongoDB is required.
- Proficiency in MongoDB is required.
- Experience designing and optimizing database schemas for performance and scalability.
- Strong knowledge of data modeling and query optimization techniques.
- Familiarity with ETL tools and processes.
- Ability to work with large datasets and ensure data quality and consistency.
- Understanding of distributed data systems and cloud-based data storage solutions.
- A minimum of 15 years of full-time education is required.
Benefits
- The position is based at the HDC4 - SEZ location.
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.