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.
• Advance 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.