Software Engineer

Primary Skill: Palantir Foundry Platform expertise - Primary

Python, PySpark

Data Handling: SQL, ETL/ELT workflows, data modelling, validation

Job Description: Responsibilities:

• Develop and maintain data pipelines using Python, Pyspark, and SQL for data transformations and workflows in Foundry.
• Build user interfaces, dashboards, and visualizations within Foundry’s Workshop application for data analysis and reporting.
• Collaborate with stakeholders including data engineers, business analysts, and business users to gather requirements, design solutions, and ensure project success.
• Ensure data quality and performance by implementing validation, testing, and monitoring processes.
• Contribute to the Foundry ecosystem through code reviews, documentation, and sharing best practices to strengthen overall platform adoption and success.

Skills and Qualifications:

• Bachelor’s degree in computer science, Data Science, or a related field; advanced degree preferred.
• Palantir Foundry Expertise: Hands-on experience with Foundry components such as Workshop, Code Repositories, Pipeline Builder, and Ontology.
• Programming Skills: Proficiency in Python and Pyspark for data manipulation and pipeline development.
• Database Knowledge: Strong SQL skills for data extraction, transformation, and query optimization.
• Data Engineering Background: Experience with ETL/ELT workflows, data modeling, and validation techniques.
• Cloud Platform Familiarity: Exposure to GCP, AWS or Azure is preferred.
• Collaboration and Communication: Strong interpersonal and communication skills to work effectively with technical and non-technical stakeholders.