Palantir Foundry Engineer designing and maintaining data solutions for clients. Core member of agile project teams leveraging AI and data analytics.
Responsibilities
As a core member of our agile project teams, you will be responsible for designing, building, and maintaining robust data solutions and infrastructure.
You will work on cutting-edge data and AI topics, leveraging the full potential of the Foundry platform to solve real-world business problems for our clients.
Developing, deploying, and troubleshooting complex data pipelines and processing systems using a variety of open-source and closed-source technologies, with a strong focus on **Palantir Foundry**.
Driving optimization, testing, and tooling to ensure exceptional data quality.
Collaborating with other software engineers, ML experts, and stakeholders in a cross-functional agile environment.
Working in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Requirements
Demonstrated experience with **AIP, Workshop, Code repository, and Pipeline Builder**.
A solid understanding of **security concepts** within Foundry, including restricted views and markings.
Knowledge of **Ontology** and **Data connection**.
We're interested in the technical details of what you've built and how you approached the architecture of your Foundry use-cases.
Programming Skills - **proficiency in **Python** and **PySpark**.
Data Skills (Nice-to-have) - **knowledge of **data modeling** and basic concepts of **data science** (classification, clustering, regression).
A minimum of **1 year of experience** working with the Foundry platform, ideally within a larger company where you may have had a focused but deep exposure.
**Strong client-facing skills:** You are comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset.
You are willing to travel to meet with our clients and the team (up to 10% of your time).
Benefits
Work on client projects that have a concrete impact on their business.
Exposure to a wide variety of projects, industries, and technologies. Each client is different
Tailor-made mentorship programme.
Learning activities such as ML and Engineering Knowledge Sharing Groups.
Up to 10% of paid time for self-development.
Opportunity to join a fast-growing service company with a start-up atmosphere.
Cross offices/company-wide frequent events (off-site or on-line).
Fun Fund to spend with the team on after-work activities.
Compensation package including base salary and profit sharing based on the performance of the company
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