Data Engineer - DataStage ETL I

The Data Engineer - DataStage ETL I supports the design, development, testing, and maintenance of scalable data integration and management solutions. This role develops ETL processes using IBM DataStage, works with relational and non-relational data platforms, and collaborates with data architects, developers, and other IT teams to ensure reliable, high-quality data solutions that meet business requirements., * Design, develop, test, implement, and maintain ETL and data management processes using IBM DataStage.

• Develop and maintain data pipelines, mappings, transformations, and data integration workflows.
• Work with relational and non-relational databases and large-scale data platforms.
• Develop data models, data processing procedures, and reusable ETL components.
• Support data quality, reliability, performance, and production troubleshooting efforts.
• Integrate data across multiple systems using appropriate programming languages, tools, and technologies.
• Assist with the development of data-driven applications, analytics solutions, and custom software components.
• Research and implement opportunities to improve data acquisition, integration, and utilization.
• Collaborate with Data Architects, Data Engineers, Developers, Data Scientists, and IT teams to deliver data solutions.
• Support disaster recovery procedures and contribute to continuous improvement of data management processes.
• Ensure solutions follow business requirements, technical standards, and industry best practices.

Database Extract Transform and Load (ETL), IBM WebSphere DataStage, VMS Operating System, IBM WebSphere DataStage, Database Extract Transform and Load (ETL), Data Quality, Data Management, Process Development, Test Plan/Schedule, Relational Databases (RDBMS), * Technical degree or equivalent relevant work experience.

• Foundational experience with IBM DataStage and ETL development.
• Experience with relational and/or non-relational databases, including SQL, MySQL, NoSQL, Hadoop, or MongoDB.
• Knowledge of data integration, data transformation, data modeling, and data management concepts.
• Experience with a backend programming language such as Java/J2EE is preferred.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to collaborate effectively within cross-functional technical teams.