We are looking for a seasoned Senior Big Data Developer with strong Python and PySpark expertise to design, develop, and optimize large-scale data processing solutions in a Hadoop/Cloudera ecosystem. The ideal candidate brings deep hands‑on experience across the full Big Data stack, strong data analysis and wrangling capabilities for high-volume datasets, and the ability to thrive in fast-paced globally distributed team environments.

• Develop and maintain data pipelines using Python, PySpark, Spark, and Kafka for high-volume batch and streaming workloads
• Perform data analysis and data wrangling on large-scale datasets ensuring accuracy, completeness, and quality
• Design and optimize queries across Hive, Impala, and SQL for performance and scalability
• Troubleshoot and resolve performance issues within the Cloudera Big Data ecosystem
• Schedule and monitor jobs using Autosys...