Senior Data Engineer Job at YO AI Labs, Glendale, CA

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  • YO AI Labs
  • Glendale, CA

Job Description

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.

Job Tags

Full time

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