Full Stack Data Engineer (Linux, Java, ETL)
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 6, 2026. CPjobs scores B on the Alion truth index.
Key responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines using differrent tools such as Informatica PowerCenter, DEI/DES, and custom scripts to support complex data flows
Manage and optimize big data ecosystems, including Hadoop, Hive, HBase, 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, HBase, Spark, and Kafka
Extensive experience with ETL tools, specifically Informatica PowerCenter, DEI (Data Engineering Integration), and DES (Data Engineering Streaming)
Proven background in building and maintaining Business Intelligence frameworks and Data Marts
Demonstrated experience working within fast-paced Agile development environments
5+ years of relevant experience in data engineering, big data architecture, or enterprise software integration
Strong problem-solving abilities, excellent communication skills, and the capacity to collaborate effectively across technical and business teams