Senior Data Engineer

Job Description Job title: Senior Data Engineer Experience: 8-15 Years Location: Glendale, USA Job Type: Full-time Must Haves: 5+ years of strong experience with Core Data Platform/Data Engineering. Data Modeling (Dimensional Modeling, Normalization, OLTP vs. OLAP) Python for data engineering and automation. Advanced SQL (complex queries, optimization, performance tuning). Snowflake (hands-on implementation and optimization). Understanding of OLTP vs. OLAP architectures and data warehouse design Qualifications: 5+ years of data engineering experience developing data pipelines. Strong understanding of data modeling principles, including Dimensional modeling and data normalization principles. Proficiency in at least one major programming language (eg, Python). Expert SQL skills and ability to create queries to analyze complex datasets. Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Experience with Snowflake. Strong algorithmic problem-solving expertise. Comfortable working in a fast-paced and highly collaborative environment. Advanced understanding of OLTP vs OLAP environments. Key Responsibilities: Create and maintain Data Platform pipelines. Create Conceptual, Logical, and Physical data models. Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem. Collaborate with other data engineers, data scientists, and cross-functional teams. Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs. Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements. Maintain detailed documentation of your work and changes to support data quality and data governance requirements. #J-18808-Ljbffr YO AI Labs