Data Engineer

We are seeking a highly experienced and technical Senior Data Engineer to lead the end-to-end lifecycle of our data ecosystems. This role focuses on sophisticated scripting, robust data modeling, and performance optimization across a modern data stack. The ideal candidate is a problem-solver who can extract data from complex source systems and transform it into actionable intelligence through high-performance stored procedures and optimized data loads. Key Responsibilities Data Extraction & Engineering: Build and maintain scalable data pipelines to extract data from various source systems, ensuring integrity and efficiency. Modeling & Analysis: Design, develop, and tune complex data models to support business intelligence and analytical needs. Performance Optimization: Expertly manage stored procedures and data loads, identifying bottlenecks and implementing performance-tuning strategies to ensure low latency. Application Development: Utilize Python and Streamlit to build interactive data tools and internal applications. Technical Requirements Must-Haves Education: Bachelor’s degree in any major. Experience: Minimum of 10 years of professional experience in data engineering, database administration, or a related field. Core Technical Stack: Advanced proficiency in: Languages: SQL and Python. Platforms: Snowflake and Databricks. ERP Systems: S/4HANA and SAP. Visualization/Apps: Streamlit. Nice-to-Haves Experience with Infrastructure as Code (IaC) using Terraform. Experience with data transformation workflows using dbt. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status. #J-18808-Ljbffr Hire Talent