AI Data Engineer

This is a HYBRID ROLE. NEED TO BE LOCAL OR IN COMMUTABLE DISTANCE. NEED TO BE ON OUR W2. Our client is seeking a highly skilled AI Specialist to design, develop, test, deploy, and monitor standardized or ad hoc reports, dashboards, or data requests. Additionally, this role develops and maintains Artificial Intelligence Machine Learning (AI ML) models and routines for end-user access for analytical purposes. The role involves working with databases, data warehouses, queries, and scripts, and reporting information for end-users. Analysts also integrate data from multiple sources to produce requested or required data elements, metrics, Key Performance Indicators (KPIs), reports, or visualizations.The Business Intelligence Analyst III will own development standards and be responsible for the quality of all routines developed for the Data Warehouse. This role will also own data engineering operations, troubleshooting data-related issues using SQL and other Integration monitoring tools, and main data-related documentation. Additionally, this role will create requirements and specifications for AI use cases based on business request. This is an individual-contributor role with high visibility that will also require production support and maintenance.Key Accountabilities:• Build and maintain data pipelines using Informatica Intelligent Cloud Services (IICS) Snowflake• Integrate various sources into Snowflake for model, validation, and deployment• Support deployment and monitoring of AI ML models in production• Implement best practices for utilization of Cortex and other Snowflake functions• Partner with Users and Analysts to complete functional specifications and translate the same to technical specifications for development work• Maintain documentation for all routines developedRequirements:• 3-5 years of experience in data engineering with a significant focus on Snowflake• 3-5 years of expertise with complex SQL• 3-5 years of expertise in Stored procedures using JavaScript or Python• 3-5 years of experience supporting AI initiatives in a data engineering or data scientist role• Proficiency in Pandas, PySpark, Snowpark ML• Knowledge of Snowflake Cortex Large Language Model (LLM) functions and statistical modeling• Proficient with configuration of REST SOAP APIs and parsing of XML JSON data• Strong ability to carry out assigned tasks independently with little supervision• Extensive experience with data warehousing concepts and performance optimization• Extensive experience in extract, transform, and load (ETL ELT) tools; IICS platform is a plus• Proactive with a can-do attitude and willingness to learn new technologies

Created: 2025-02-21