Partner with Procurement and cross‑functional stakeholders to define problem statements, translate business requirements into technical requirements, and deliver comprehensive IT solutions aligned with business objectives.
Leverage Azure DevOps to define user stories/requirements and drive the design, development, validation and deployment of applications (both SaaS and Custom) and integrations, leveraging ETL tools, APIs, and event‑driven patterns to deliver secure, scalable, and reliable solutions.
Apply strong Snowflake data analysis and Power BI data visualization or data science skills to gather requirements, perform data profiling and validation, and use data to solve business problems.
Evaluate business and technical requirements to recommend solution options (build/buy/enhance) and implement secure, maintainable designs, including enhancements to existing systems and cloud migrations where appropriate.
Support end‑to‑end application delivery, including configuration, development, automated testing, CI/CD deployments, defect resolution, and post‑go‑live hyper care, ensuring operational readiness.
Requirements
Bachelor’s degree in a relevant field or equivalent experience
Experience building and supporting cloud solutions (AWS preferred), including cloud databases, integration/middleware technologies, and secure connectivity patterns.
Strong SQL and data analysis skills and experience with Snowflake and PowerBI
Demonstrated ability to translate business processes and pain points into functional requirements, data requirements, and implementable technical solutions.
Strong verbal and written communication skills.
Demonstrated people skills and a collaborative working style.
A proactive mindset with a willingness to learn and implement innovative technologies.
Experience with integration middleware tools (ex: Snaplogic), ETL tools, Snowflake, Power BI, Python, APIs, and strong SQL for data analysis.
Developed and supported custom Java services and REST APIs, deployed on AWS (e.g., container or serverless patterns).
Familiarity with fundamental data quality principles, procedures, and best practices.
Experience implementing AI/ML solutions using data science tools, AWS Bedrock, or Snowflake Cortex.
Tech Stack
AWS
Azure
Cloud
ETL
Java
Python
SQL
Benefits
Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*