2 months ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and manage data pipelines, workflows, and ETL processes across systems.
- Monitor, troubleshoot, and optimize data workflows for performance and reliability.
- Ensure data quality through validation and quality assurance practices.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes and communicate clearly with stakeholders.
- Contribute solutions to work-related problems and participate in team discussions.
- Assist junior team members with project requirements and best practices.
- Work independently and develop subject-matter expertise.
Requirements
- At least 3 years of experience in PySpark.
- Proficiency in PySpark.
- Experience building and managing data pipelines and workflows.
- Strong knowledge of data processing frameworks and distributed computing.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Familiarity with data storage solutions and data integration techniques.
- Understanding of data quality assurance and validation methods.
- Completion of 15 years of full-time education.
Benefits
- The position is based at the Accenture office in Hyderabad.
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.