We are seeking an experienced Data Developer with strong expertise in modern enterprise application development. The ideal candidate will have deep knowledge of Data Engineering ETL/ELT Datastage PL/SQL proficiency in Java for developing backend services. This role involves designing developing and maintaining scalable applications integrating with messaging systems and contributing to modernization initiatives using AI-driven approaches.
Data Engineering & ETL/ELT
- Design develop and optimize complex data pipelines using IBM DataStage and other ETL/ELT tools.
- Ensure data quality integrity and performance across large-scale data processing workflows.
Database Management & SQL
- Write and optimize advanced SQL queries for data extraction transformation and analysis.
- Manage and maintain relational and relational/non relational databases to support business and technical requirements.
Programming & Backend Development
- Develop robust backend services and data processing applications using Java.
- Implement efficient algorithms for data manipulation and integration.
- Data Engineering & ETL/ELT: Expertise in designing building and optimizing complex data pipelines with hands-on experience in IBM DataStage.
- Database & SQL: Advanced SQL skills for complex data querying analysis and manipulation across various database systems.
- Programming: Strong proficiency in Java for developing backend services and data processing applications.
- Technical Architecture: Proven ability in technical solution architecture designing scalable and resilient data systems.
- Containerization: Hands-on experience with containerization technologies like Docker and Kubernetes for deploying and managing applications.
- Agile Leadership: Demonstrated experience as an Agile Delivery Leader or Scrum Master guiding teams using Scrum or Kanban methodologies.
- Project Management: Expertise in technical project management including planning execution and stakeholder communication.
- Cloud Platforms: Experience with major cloud providers (IBM Cloud AWS Azure or GCP) and their native data services.
- Data Analysis: Strong ability to perform in-depth data analysis to support business decisions and make inform technical choices.
- CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines and best practices.
- Cross-functional Leadership: Proven success in leading large-scale cross-functional initiatives spanning engineering design and business units.