About The Role

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Looking for SG6/SG7 candidates

4–5 years programming experience in SAS (preferably "SAS RealTime Decision Manager") SQL, and Python, with experience in object-oriented and procedural paradigms.
Experience with Relational Database Management Systems
Gen AI tooling -( LLM) Workflows & Cloud integration
1–2 years hands-on experience with Google Cloud Platform (GCP) including BigQuery, PostgreSQL, Cloud Storage, Cloud Functions, etc. Familiarity with Waterfall, Agile and PDO methodologies
Experience working with IT testing environments, regression testing, and automated validation.
Experience integrating or automating processes involving mainframe legacy systems (preferred).
Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms.
Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production.
Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets.
Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions.
Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery.
Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results.
Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop Proof-of-Concepts, and enhance delivery processes through automation.
Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs.
Bachelor’s degree in computer science, Data Science, Information Systems, Engineering, or related field required.
Master’s degree preferred.
Strong analytical, critical thinking, and problem-solving abilities.
Ability to learn new tools and technologies quickly.
Excellent interpersonal and communication skills.
Ability to work independently with minimal supervision.
Proactive, curious, and willing to ask questions to uncover opportunities.
Commitment to building efficient, scalable, and high-quality analytics solutions.