Palantir Foundry Engineer
Skills
About This Role
About Company
Datafirst is a technology and consulting services company focused on delivering skilled IT talent and data-driven solutions to clients across industries.
We are looking for an experienced
Palantir Foundry Engineer
to join a growing data team in
Dubai
.
This is an excellent opportunity for professionals with strong hands-on experience in building applications, data pipelines, and scalable data solutions on
Palantir Foundry
.
This role is for an opportunity with a
leading UAE-based company group
.
Overall IT Experience
5 to 12 years
Key Responsibilities
- Develop business-facing applications using
Palantir Workshop
- Build dashboards, custom widgets, drill-down views, and interactive data applications
- Design and develop applications using
OSDK
- Build and maintain data ingestion workflows and pipelines within Foundry
- Create and manage
- Ontology objects
- , relationships, and data models
- Work with datasets, transforms, lineage, access controls, and governance features in Foundry
- Collaborate with business users, data analysts, architects, and engineering teams
- Translate business requirements into scalable Foundry-based applications and data solutions
- Support performance tuning, troubleshooting, and optimization of data pipelines and applications
Required Skills & Experience
- Strong hands-on experience with
Palantir Foundry
- Experience in
- Workshop application development
- , including dashboards, custom widgets, and drill-down functionality
- Hands-on experience with
- OSDK-based application development.
- Experience working with Foundry tools such as
- Code Workbook, Pipeline Builder, Contour, Ontology, Workshop, Quiver, and Object Explorer.
- Good understanding of
- Foundry data pipelines, datasets, transforms, lineage, access controls, and data governance
- Strong experience in
- data ingestion and pipeline development
- within Foundry
- Good understanding of
- Ontology object design and data modeling
- Experience working with large-scale enterprise data platforms
- Strong SQL and data engineering fundamentals
- Experience with
Apache Spark / PySpark / Spark SQL
- will be an added advantage
- Good analytical, problem-solving, and communication skills
Preferred Background
- Prior experience in enterprise data transformation or digital transformation projects
- Ability to work in a fast-paced, business-focused data environment
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