13 days ago
Pune, IndiaMid Level / Senior
Responsibilities
- Design, develop, optimize, and support scalable data engineering solutions.
- Build and maintain batch and real-time or streaming data pipelines for large-scale data processing.
- Develop and optimize Python, PySpark, SQL, and UNIX/Linux shell scripts.
- Perform PySpark application design, job execution, performance tuning, and troubleshooting.
- Develop ETL/ELT pipelines and integrate data using data engineering frameworks.
- Gather requirements, design solutions, prepare technical documentation, and support implementation.
- Collaborate effectively with technical and business stakeholders.
Requirements
- Strong Python programming skills focused on coding, data processing, and performance optimization.
- Extensive hands-on experience developing PySpark applications, including execution, tuning, and troubleshooting.
- Hands-on SQL coding experience.
- Experience developing ETL/ELT pipelines and using data integration frameworks.
- Proficiency in UNIX/Linux shell scripting, including creating, modifying, and troubleshooting scripts.
- Experience with batch and real-time or streaming data processing technologies.
- Ability to process large-scale data and optimize workflows for performance and scalability.
- Understanding of distributed computing concepts and big data architecture.
- Strong analytical, problem-solving, verbal communication, and written communication skills.
- Three to five years of professional experience.
About Wipro
Wipro is a global IT services and consulting firm that provides application development, cloud migration, infrastructure management, data/AI, and business process outsourcing for enterprises. It earns revenue through long-term outsourcing, managed services, and project-based consulting across multiple industries. Founded in 1945 and headquartered in Bangalore, India, Wipro is publicly traded (NYSE: WIT; NSE/BSE: WIPRO).