Technical Lead/Analyst-Data EngineerLocation: Mountain View, CA/Remote-PST time zoneDuration: 6+ MonthsJob Description:Must have skillsData and Integration dev for maintaining pipeline. Not data scientist.Data Full stack PeopleData integration to Looker UIPython and GO language. Data and Google stackAs a data engineer, your primary responsibility would be to design, build, and maintain data pipelines and infrastructure that support the collection, storage, and processing of various types of data from autonomous vehicles and related systems.
You would be working with large-scale datasets, ensuring data quality, and implementing data governance practices. Additionally, you may collaborate with cross-functional teams to develop data models, optimize data workflows, and contribute to the overall improvement of data architecture and systems. Your role would play a critical part in enabling the development and advancement of autonomous driving technology.
Minimum qualifications:12+ years of development in Python or GoBachelor's degree or equivalent practical experience.2+ years of experience in Google Cloud native architecturesExperience with traditional Analytic Warehouse solutions, Big Data technologies, Real Time Streaming, performance, and scalability.SQL knowledge (query performance tuning, index maintenance, etc.) as well as an understanding of database structureKnowledge of data modelling principlesKnowledge of at least one ETL tool (SSIS, Informatica, Talend, etc.) {{ For time-limited contracts, specify the exact tool required; in longer-term positions, otherwise strong candidates can be mentored on specifics }}Preferred qualifications:Master's degree or PhD in a technical field (e.g., Computer Science, Engineering, and Mathematics).Experience in writing code in a common development language such as Java, Python, JavaScript, C++, Scala, R, or Go.Knowledge on BI Tools Preferably LookerKnowledge of various SQL/NoSQL data storage mechanisms and Big Data technologies