We are seeking a highly skilled Palantir Foundry Engineer to join our IT Services team. In this pivotal role, you will architect, build, and maintain robust data solutions that drive business intelligence and operational efficiency. You will serve as a technical expert responsible for transforming raw data into actionable insights, ensuring seamless integration across diverse systems, and optimizing data pipelines for maximum performance. This position is critical for leveraging our Palantir AIP capabilities to solve complex data challenges and support our organization's strategic goals.
Responsibilities
Design and implement scalable ETL and ELT processes to facilitate efficient data movement and transformation.
Develop sophisticated data models and execute complex data transformation logic to meet business requirements.
Integrate REST APIs with various databases to ensure real-time connectivity and data consistency.
Leverage Palantir AIP and Foundry platforms to build advanced applications and data products.
Establish and enforce data quality standards while continuously optimizing data pipelines for speed and reliability.
Manage CI/CD workflows and implement automated testing protocols to ensure code integrity and deployment stability.
Oversee cloud platform configurations and maintain strict adherence to data governance policies.
Write clean, efficient code in Python and TypeScript to support backend logic and frontend interactions.
Requirements
Requirements:
Minimum of 5 years of professional experience in data engineering or related IT services roles.
Proven expertise in ETL/ELT architectures, data modeling, and data transformation techniques.
Strong proficiency with REST APIs, database integration, and cloud platform environments.
Hands-on experience with Palantir Foundry and Palantir AIP ecosystems.
Demonstrated ability to optimize data quality and enhance pipeline performance.
Solid background in implementing CI/CD pipelines and automated testing frameworks.
Advanced coding skills in Python and TypeScript.
Knowledge of data governance principles and best practices.
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