Python, PySpark, ETL Developer

Build and scale data solutions that power smarter decisions. In this role, you’ll work at the intersection of software engineering and data engineering—using Python, PySpark, and ETL to transform raw, complex datasets into reliable, analytics-ready assets. You’ll collaborate closely with data engineers, analysts, and stakeholders to understand requirements, design efficient pipelines, and deliver high-quality outputs on time. If you enjoy solving performance challenges, improving data quality, and creating maintainable code that runs in production, this is a great opportunity to grow your impact. Expect a supportive, collaborative environment where ownership is encouraged, learning is continuous, and your contributions directly improve how teams access and trust data.

Technical Requirements: Technology->Analytics - Packages->Python - Big Data,Technology->Big Data - Data Processing->PySpark, ETL

Additional Responsibilities: • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
• 2–5 years of hands-on experience building data pipelines using Python and PySpark.
• Strong understanding of ETL concepts, data transformations, and handling large-scale datasets.
• Proficiency in writing clean, maintainable code and debugging production issues.
• Working knowledge of data structures, algorithms, and software development best practices.