Big Data Developer

Job description

Senior Big Data / ETL Engineer Hadoop | PySpark | Python | HDFS | Kafka | Streaming | ETL | Informatica | DevOps | Copilot Experience 5-8 Years Location Bangalore Work Model Hybrid: minimum 3 days per week from RMZ Ecoworld, Bangalore Cloud Preference Azure and/or AWS Primary Skills Hadoop, PySpark, Python, HDFS, Kafka, Streaming, ETL, Informatica, DevOps, Copilot, Markdown Job Summary We are looking for a skilled Senior Big Data / ETL Engineer with 5-8 years of hands-on experience in designing, developing and supporting enterprise-scale big data, ETL and streaming solutions. The role requires strong practical expertise in Hadoop ecosystem technologies, PySpark, Python, HDFS, Kafka, real-time streaming and ETL development, with working knowledge of Informatica. The candidate should have DevOps awareness, cloud exposure on Azure and/or AWS, and the ability to use Microsoft Copilot or equivalent AI-assisted development tools to improve productivity across coding, debugging, unit test generation, documentation and operational support. Strong ownership of Markdown-based technical documentation aligned with company standards is essential.