| Data Engineer with Palantir Foundry at San Francisco, CA (onsite) at San Francisco, California, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2142436&uid= From: Prabhjith, Siri Info [email protected] Reply to: [email protected] Hi Greetings from Siri InfoSolutions We have an immediate position, please find the below details Role: Data Engineer with Palantir Foundry Location: San Francisco, CA (onsite) Duration: 6+Months Note : Looking for h1b consultants who can share pp number Job Description: Over all 8+ years experience is required Support Palantir Foundry Application Development by designing and developing full stack applications. Work on both frontend and backend components to ensure seamless integration and functionality Improve application User Interface and visualization design. Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate). Develop interactive workflow UIs and build/access data versions within the tool for analytics. Develop writeback functionality into the tool as needed. Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI. Maintain applications as usage grows and requirements change. Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications. Collaborate with the Data Engineering Team to understand the ontology and data pipelines supporting the applications. Support end-to-end data pipeline development using Python and PySpark for ETL processes. Support designing and building high-scale data-intensive workflows. Perform data validations and analysis, using PyTest to create and implement unit tests. Implement Foundry Expectations within Foundry Health checks for automated validations. Monitor and debug critical issues such as data staleness or data quality Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Debug and resolve issues reported by users or identified through testing. Desirable Skills: 1) Strong Experience on Palantir Foundry platform, SQL, Pyspark and Data warehouse 2) Experience on Ontology design 3) Implementation experience on building data pipelines using Palantir Foundry in automating the ETL processes 4) Experience on data Analysis using Contour 5) Well versed with migration & deployment process on Palantir platform 6) Experience on implementing interactive dashboards and visualizations in Palantir Foundry to provide actionable insight 7) Exposure to data Modelling Thanks, Prabhjith Singh Siri InfoSolutions Inc, 3 Ethel Rd, Suite # 302, Edison NJ 08817. Disclaimer: We respect your online privacy. If you would like to be removed from our mailing list please reply with "Remove" in the subject and we will comply immediately. We apologize for any inconvenience caused. Please let us know if you have more than one domain. The material in this e-mail is intended only for the use of the individual to whom it is addressed and may contain information that is confidential, privileged, and exempt from disclosure under applicable law. If you are not the intended recipient, be advised that the unauthorized use, disclosure, copying, distribution, or the taking of any action in reliance on this information is strictly prohibited. We are an equal opportunity employer with a diverse workforce. Note : Any resume submitted by Siriinfo is presented with the understanding that the candidate is being considered for your direct end-client (end-client is the company where the work will be performed). If there is any other company involved between the end-client and your company, please do not submit this resume without our written approval. If you submit the resume to another third party, Siriinfo reserves the right to work with the third party directly. Keywords: business intelligence information technology California New Jersey Data Engineer with Palantir Foundry at San Francisco, CA (onsite) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2142436&uid= |
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| 09:48 PM 04-Feb-25 |