4 days ago
Pune, India or Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, processing, migration, and deployment.
- Lead the development and optimization of scalable data pipelines and ETL processes.
- Monitor and troubleshoot data workflows to ensure reliable data availability.
- Coordinate with stakeholders to understand data needs and translate them into technical specifications.
- Collaborate with multiple teams and contribute to key technical decisions.
- Serve as a subject matter expert and manage the team’s execution.
- Provide solutions across the immediate team and multiple teams.
- Facilitate knowledge sharing and mentor team members.
Requirements
- At least 7.5 years of experience with Databricks Unified Data Analytics Platform.
- Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, PySpark, and Python.
- Strong expertise building and managing scalable data pipelines and ETL processes.
- Experience with distributed computing frameworks and big data technologies.
- Ability to optimize data workflows for performance and reliability.
- Familiarity with cloud-based data storage and processing solutions.
- 15 years of full-time education is required.
Benefits
- The position is based at the company’s Bengaluru office.
Tech Stack
DatabricksPython
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.