Job Summary
Job Description
What is the opportunity?
Join our Automated Batch Impact Evaluate Lab to be at the forefront of transforming mainframe observability. This innovative team is dedicated to revolutionizing how we understand and interact with legacy systems, leveraging modern technologies to enhance performance, reliability, and insight. You will play a pivotal role in developing cutting-edge solutions that bridge the gap between traditional mainframe operations and contemporary data engineering practices.
What will you do?
- Develop Integration Solutions: Utilize Python and PySpark for developing scalable solutions that integrate mainframe data with Hadoop ecosystems, enabling efficient data processing and analysis.
- Create APIs within the Cloud software space (OCP – OpenShift) leveraging existing REST/SOAP services
- Implement Data as a Service (DaaS): Design and implement DaaS platforms to provide seamless access to mainframe data, ensuring data is accessible, reliable, and secure for various stakeholders.
- Data Modeling: Create sophisticated data models that accurately represent mainframe data structures within modern data processing ...
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