Palantir Foundry

Design, implement, and maintain scalable data pipelines, and Ontology Objects in Palantir
Foundry
- Design, implement, and maintain scalable Functions in Palantir Foundry
- Collaborate with cross-functional teams to understand data requirements and translate

them into robust and efficient solutions.
- Develop and optimize ETL processes to ensure timely and accurate data delivery to various
- Implement data governance and security best practices to safeguard sensitive

information.
- Troubleshoot and resolve issues related to data pipelines, ensuring continuous data

availability and reliability.
- Collaborate with data scientists and analysts to facilitate data-driven decision-making

processes.
- Stay current with emerging technologies and industry trends, incorporating innovative

solutions into data engineering practices.
- Document and communicate technical solutions and processes effectively.

Tools and skills you will use in this role:

- Palantir Foundry
- SQL
- Python
- PySpark
- JavaScript
- TypeScript
- Version Control Git and Git Hub

Required
- Bachelor's Degree with 6 years’ experience; or Master's Degree with 4 years’ experience
- 6+ years of experience in data engineering, preferably within the pharmaceutical or life

sciences industry
- Proven experience as a Data Engineer with a focus on cloud-based solutions.
- Strong proficiency in SQL, Python, and PySpark
- Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google

Cloud Dataflow).
- Expertise in data modeling, database design, and optimization.
- Familiarity with Big Data technologies (e.g., Apache Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration skills.
- Previous experience working with JavaScript and TypeScript

Beneficial
- Certification in Cloud platforms, or related areas
- Proficiency in containerization technologies (e.g., Docker, Kubernetes).
- Search engine Apache Lucene, Webservice Rest API
- Experience with Veeva CRM, Reltio, SAP and/or Palantir Foundry.
- Knowledge of pharmaceutical industry regulations, such as data privacy laws, is highly

desirable

**Job Summary**

**Responsibilities**
- Lead the design and implementation of Data Engineering Solutions using Palantir Foundry.
- Oversee the development and deployment of machine learning models to ensure high performance and scalability.
- Provide technical guidance and mentorship to the development team.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and maintain documentation for projects including design specifications and user guides.
- Ensure the integration of models with existing systems and workflows.
- Monitor and evaluate the performance of models making necessary adjustments to improve accuracy and efficiency.
- Stay updated with the latest advancements in AI and ML technologies and incorporate them into the organizations projects.
- Implement version control and collaboration workflows using GIT to manage code and project artifacts.
- Conduct code reviews and provide feedback to ensure code quality and adherence to best practices.
- Participate in project planning and estimation activities to ensure timely delivery of AI and ML solutions.
- Communicate project status risks and issues to stakeholders in a clear and concise manner.
- Proficiency in using GIT for version control and collaboration.
- Excellent problem-solving skills and the ability to think critically.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Proven track record of successfully delivering AI and ML projects.
- Knowledge of software development best practices and methodologies.