What are the responsibilities and job description for the Palantir Data Engineer - South San Francisco, CA position at RICEFW Technologies Inc?
Palantir Data Engineer / Foundry Specialist
Hybrid at South San Francisco, CA
Long-term contract
Job Summary :
We are seeking a talented and highly motivated Palantir Data Engineer / Foundry Specialist to join our team. As a specialist in Palantir Foundry, you will play a key role in designing, building, and optimizing data solutions to solve complex business challenges. You will be responsible for creating data pipelines, integrating disparate datasets, and facilitating data-driven decision-making across the organization. Your expertise in Palantir Foundry will help us unlock the potential of data and drive transformative outcomes.
Key Responsibilities :
- Design, build, and maintain scalable data pipelines within Palantir Foundry to ingest, process, and analyze data from diverse sources.
- Collaborate with cross-functional teams to define data requirements and optimize data models for various business use cases.
- Perform data quality checks and troubleshoot issues to ensure the integrity and reliability of the data.
- Implement solutions within Palantir Foundry, including data integration, transformation, and visualization capabilities.
- Customize and enhance existing Foundry modules, such as Workbooks, Data Pipelines, and Ontology, to meet business-specific needs.
- Provide training and guidance to internal teams on leveraging Foundry's capabilities for data-driven decision-making.
- Work closely with data scientists, analysts, and business stakeholders to understand their needs and deliver tailored data solutions.
- Facilitate discussions around data architecture, modeling, and integration in Foundry.
- Leverage your technical expertise to troubleshoot and resolve any issues related to data pipeline performance, data integration, and system configurations.
- Identify opportunities for optimization within the Foundry environment to improve data processing speeds and resource usage.
- Maintain comprehensive documentation on data pipelines, models, and processes for internal use and auditing purposes.
- Generate reports and dashboards to communicate insights derived from the data and track key metrics.
Skills & Qualifications :
Preferred Qualifications :
