9 days ago
Pune, India or Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage scalable data pipelines and workflows.
- Implement ETL processes for data integration, migration, and deployment across systems.
- Ensure data quality, governance, and integrity throughout the data lifecycle.
- Troubleshoot complex data processing issues and optimize workflow and system performance.
- Serve as an SME, manage team performance, and make decisions for the team.
- Collaborate with multiple teams and provide solutions across organizational groups.
- Mentor junior team members and coordinate cross-functional data engineering initiatives.
Requirements
- At least 7.5 years of professional experience is required.
- At least 7.5 years of experience with AWS Glue is required.
- Proficiency in AWS Glue and PySpark is required.
- Strong experience building and managing scalable data pipelines and workflows.
- Expertise in data integration, transformation, and migration techniques.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot complex data processing issues efficiently.
- Knowledge of data quality assurance and governance best practices.
- 15 years of full-time education is required.
Benefits
- The position is based at the Pune 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.