Senior Data Engineer
iSpace
- Los Angeles, California, United States
- Los Angeles, California, United States
About
Languages and Frameworks
MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
MongoDB, hands-on NoSQL experience, including document modelling and integrating with relational systems.
Comfortable modelling data across relational and document-based systems, analysing schemas, and resolving data quality issues.
Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
Python, working proficiency for scripting, automation, and data pipeline support is a plus.
Tools
Experience maintaining projects using a distributed version control system such as Git and GitHub.
Experience in automated pipeline deployment and schemas into production environments.
You should be experienced with agile methods and the concepts behind continuous delivery.
We expect you to be passionate about database modelling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
BS in Computer Science and a minimum of five years of experience delivering production solutions
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Languages
- English
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