23 days ago
Pune, India or Coimbatore, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, processing, migration, and deployment.
- Build, monitor, and optimize scalable data pipelines and ETL workflows for performance and reliability.
- Ensure data integrity, quality, and efficient storage and retrieval across the data lifecycle.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and workflows to support clarity and knowledge sharing.
- Work independently, contribute to team discussions, solve work-related problems, and provide guidance to junior team members.
Requirements
- At least 3 years of experience in Data Engineering.
- Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, and PySpark.
- Strong experience building and managing scalable data pipelines and ETL workflows.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to work with large datasets and maintain data integrity and quality.
- Experience optimizing data storage and retrieval for performance and cost efficiency.
- Completion of 15 years of full-time education.
Benefits
- The position is based at the Accenture office in Coimbatore.
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.