3 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create scalable data pipelines and implement ETL processes across systems.
- Monitor and optimize data workflows for performance and reliability.
- Ensure data quality through validation and quality assurance processes.
- Collaborate with cross-functional teams to understand requirements and deliver data solutions.
- Document data processes and communicate clearly with stakeholders.
- Troubleshoot data processing issues and provide solutions to work-related problems.
- Participate in team discussions and contribute as a subject matter expert.
- Share knowledge with and provide guidance to junior team members.
Requirements
- At least 3 years of professional experience is required.
- At least 3 years of experience with Apache Hadoop is required.
- Proficiency in Apache Hadoop.
- Experience with distributed computing frameworks and big data processing.
- Strong understanding of data storage architectures and data modeling.
- Familiarity with data pipeline orchestration and workflow management tools.
- Knowledge of data quality assurance and validation techniques.
- Ability to troubleshoot and resolve data processing issues efficiently.
- 15 years of full-time education is required.
Benefits
- The position is based at the company’s Hyderabad office.
Tech Stack
Apache Hadoop
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.