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.