What are the responsibilities and job description for the Senior Data Engineer position at YO AI Labs?
Job Description
- Job title: Senior Data Engineer
- Experience: 8-15 Years
- Location: Glendale, USA
- Job Type: Full-time
- 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
- 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
- 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.