6+ years of experience in
Developing and maintaining scalable software applications using Python and PySpark for large-scale data processing and analytics.
Design and implement efficient Big Data solutions, including distributed data pipelines and batch/stream processing systems.
Collaborate with cross-functional teams to define requirements, design architecture, and deliver high-quality software components.
Ensure code quality through best practices such as unit testing, code reviews, and version control, while maintaining clear documentation.
Monitor, troubleshoot, and optimize application performance, focusing on scalability, reliability, and efficient resource utilization in Big Data environments.
Developing and maintaining scalable software applications using Python and PySpark for large-scale data processing and analytics.
Design and implement efficient Big Data solutions, including distributed data pipelines and batch/stream processing systems.
Collaborate with cross-functional teams to define requirements, design architecture, and deliver high-quality software components.
Ensure code quality through best practices such as unit testing, code reviews, and version control, while maintaining clear documentation.
Monitor, troubleshoot, and optimize application performance, focusing on scalability, reliability, and efficient resource utilization in Big Data environments.