Snowflake with Cortex

Responsibilities

- Designing and building Snowflake and Cortex data solutions that support client analytics and reporting needs
- Developing data pipelines, transformation logic, and integration workflows across cloud-based data environments- Translating business requirements into data models, warehouse structures, and scalable engineering deliverables- Interpreting complex data challenges and applying analytical thinking to improve data quality, validation, and troubleshooting- Collaborating with client teams to gather requirements, clarify priorities, and adjust delivery plans as project needs change- Applying Apache Airflow, Azure Data Factory, Databricks, and related tools to automate and orchestrate data processing- Supporting data architecture decisions by evaluating performance tuning, query optimization, and database management approaches- Reviewing technical deliverables from junior team members and providing guidance on engineering methods and work products- Building meaningful client connections while communicating progress, risks, and technical tradeoffs in a clear manner- Contributing to data modernization efforts by developing solutions that improve accessibility, reliability, and use of enterprise data

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating Snowflake and Cortex platform experience in data engineering- Applying SQL, data modeling, and data pipeline development- Using Azure Databricks, AWS, or Azure data tools- Interpreting data for insights and recommendations- Mentoring junior team members and managing assigned workstreams