Data Engineer II

Line 1: Contribute to the design, development, and enhancement of robust, scalable big data solutions within the Hadoop ecosystem. Line 2: Work hands-on with the Cloudera distribution to build and maintain data pipelines and platform components using Apache Ozone, Apache Iceberg, Apache Airflow, and Apache NiFi. Line 3: Develop and optimize large-scale Spark jobs to enable massively parallel data processing. Line 4: Collaborate with senior engineers, architects, and cross-functional teams to implement best practices, improve workflow reliability, and support platform-level enhancements. Line 5: Perform performance tuning, troubleshooting, and root cause analysis of distributed systems in production, and contribute to the evaluation of emerging technologies. Line 6: Ensure adherence to operational standards, including reliability, quality, and security requirements, while meeting project timelines and SLAs; contribute to automation, documentation, and continuous improvement.