Full Stack Data Engineer (Linux, Java, ETL)

Key responsibilities Design, develop, and maintain robust ETL/ELT data pipelines using differrent tools such as Informatica Power

Center, DEI/DES, and custom scripts to support complex data flows Manage and optimize big data ecosystems, including Hadoop, Hive, H

Base, Apache Spark, and real-time data streaming via Apache Kafka Deploy and maintain containerized applications and microservices on OCP4 (OpenShift Container Platform 4), leveraging Java EE and enterprise API Management/Gateway solutions Architect and maintain Oracle databases, structured Data Marts, and Business Intelligence layers to support high-performance reporting and analytics Write efficient Linux shell scripts for system automation, deployment, and task scheduling Participate fully in Agile development ceremonies (sprint planning, daily stand-ups, retrospectives) to deliver high-quality solutions iteratively About you Strong proficiency in Linux shell scripting for automation and administration Hands-on experience with OCP4 (OpenShift), Java EE, and API Management / Gateway solutions Solid expertise in Oracle database management, querying, and optimization Deep familiarity with Big Data technologies: Hadoop, Hive, H

Base, Spark, and Kafka Extensive experience with ETL tools, specifically Informatica Power

Center, DEI (Data Engineering Integration), and DES (Data Engineering Streaming) Proven background in building and maintaining Business Intelligence frameworks and Data Marts Demonstrated experience working wi