22 hours ago
Hyderābād, IndiaSenior
Responsibilities
- Develop, design, code, test, and enhance custom software components across systems and applications.
- Build, optimize, debug, and troubleshoot PySpark applications and complex data pipelines.
- Perform distributed data processing and data transformation, cleansing, and aggregation on large datasets.
- Integrate PySpark applications with various data storage systems.
- Evaluate and improve existing codebases for performance, scalability, and reliability.
- Collaborate with cross-functional teams, clients, and stakeholders to ensure seamless software integration and document technical specifications.
- Work independently as a subject-matter expert, contribute solutions to technical problems, and guide junior team members.
Requirements
- At least five years of professional experience is required.
- At least three years of experience with PySpark is required.
- Proficiency in PySpark is required.
- Strong experience with distributed data processing and large datasets is required.
- Experience optimizing PySpark jobs for performance and scalability is required.
- Knowledge of data transformation, cleansing, aggregation, debugging, troubleshooting, and integration with data storage systems is required.
- Fifteen years of full-time education is required.
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.