The Role
Develop, implement, and support data solutions on the Palantir platform. Build and optimize data pipelines using PySpark and Spark SQL, create Palantir applications and dashboards, model ontologies, translate business requirements, perform testing and performance tuning, collaborate with cross-functional teams, and maintain technical documentation.
Summary Generated by Built In
About the Role
We are looking for a talented and hands-on Palantir
Developer with 4+ years of experience to join our team. In this role, you
will focus on developing, implementing, and supporting data solutions on the
Palantir platform. You will work closely with cross-functional teams to build
scalable data pipelines, develop applications, and deliver actionable insights
from complex datasets.
Key Responsibilities
- Data
Pipeline Development: Design, develop, and maintain data pipelines
using PySpark, Spark SQL, and Python to ingest, transform, and
integrate data from multiple sources.
- Application
Development: Build and configure applications and dashboards using
Palantir tools such as Workshop, Quiver, and Slate.
- Platform
Implementation: Work on Palantir Foundry/Gotham implementations
including data integration, ontology modeling, and pipeline
configuration.
- Requirement
Translation: Collaborate with business stakeholders, data scientists,
and engineers to understand requirements and translate them into technical
solutions.
- Testing
& Optimization: Debug issues, monitor performance, and optimize
pipelines and applications for efficiency and reliability.
- Collaboration: Participate actively in agile ceremonies, code reviews, and
knowledge-sharing sessions.
- Documentation: Maintain clear technical documentation for data flows, pipelines, and
applications.
Required Qualifications
- Experience: 4+ years of hands-on experience as a Palantir Developer or Data
Engineer on Palantir platform.
- Platform
Expertise: Practical experience with Palantir Foundry or Gotham,
including pipeline development and ontology concepts.
- Programming
Skills: Strong proficiency in Python, PySpark, SQL, and TypeScript.
- Data
Fundamentals: Good understanding of ETL/ELT processes, data
modeling, and data warehousing concepts.
- Problem
Solving: Ability to troubleshoot and resolve data-related issues
efficiently.
- Communication: Good verbal and written communication skills.
Preferred Qualifications
- Exposure
to Palantir application development tools (Workshop, Slate,
Quiver).
- Experience
working in agile development environments.
- Basic
understanding of data governance and security concepts.
- Relevant Palantir certifications are a plus.
Skills Required
- 4+ years of hands-on experience as a Palantir Developer or Data Engineer on Palantir platform.
- Practical experience with Palantir Foundry or Gotham, including pipeline development and ontology concepts.
- Strong proficiency in Python.
- Strong proficiency in PySpark.
- Strong proficiency in SQL (including Spark SQL).
- Strong proficiency in TypeScript.
- Good understanding of ETL/ELT processes, data modeling, and data warehousing concepts.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Good verbal and written communication skills.
- Exposure to Palantir application development tools (Workshop, Slate, Quiver).
- Experience working in agile development environments.
- Basic understanding of data governance and security concepts.
- Relevant Palantir certifications.
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The Company
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.
