1 month ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build, lead, and optimize scalable data pipelines and ETL processes using PySpark.
- Ensure data quality, performance, reliability, migration, and deployment across systems.
- Troubleshoot and resolve data-related issues in complex environments.
- Collaborate with stakeholders and multiple teams to translate data requirements into technical solutions.
- Serve as a subject matter expert, contribute to team decisions, and provide solutions across teams.
- Facilitate knowledge sharing and mentor team members.
Requirements
- At least 7.5 years of experience in PySpark is required.
- Proficiency in PySpark and experience building scalable data pipelines and ETL processes using PySpark.
- Strong knowledge of distributed computing frameworks and big data technologies.
- Ability to optimize data workflows for performance and reliability.
- Familiarity with data storage solutions and data modeling concepts.
- Experience troubleshooting and resolving data-related issues in complex environments.
- 15 years of full-time education is required.
Benefits
- The position is based at the BDC7A - SEZ office.
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.