Senior Data Engineer
YO AI Labs
Job Description
Job Description
Job Description
- Job title: Senior Data Engineer
- Experience: 5-20 Years
- Location: Glendale, USA
- Job Type: Contract, On-site
Must Haves:
- Candidates must be willing to work on W2, no C2C.
- 5+ years of data engineering experience specifically developing large-scale data pipelines.
- Databricks and Python expertise.
Qualifications:
- 5+ years of data engineering experience developing large data pipelines
- Proficiency in at least one major programming language.
- Expertise on databricks and Python.
- Hands-on production environment experience with distributed processing systems such as Spark
- Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
- Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
- Experience in developing APIs with GraphQL
- Advanced understanding of OLTP vs OLAP environment.
- Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling
Key Responsibilities:
- Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines.
- Build and maintain APIs to expose data to downstream applications.
- Develop real-time streaming data pipelines.
- Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake.
- Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform.
- Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more.
- Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders.
Vacancy posted 9 days ago
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