We are seeking a Data Engineer with expertise in Palantir Foundry to build scalable, normalized data models and pipelines. This role will drive data ingestion, transformation, and normalization while enabling visualization development in Power BI. The ideal candidate will work closely with the Product Manager, Data analysts, and key stakeholders to deliver clean, structured insights.
Key Responsibilities:
Data Modelling and Normalization:
Develop and implement scalable data models in Palantir Foundry
Normalize data from ERP systems (SAP, JD Edwards) to ensure cross-client consistency
ETL and Data Pipelines:
Build and automate data ingestion pipelines to reduce manual intervention
Develop processes for cleaning, validating, and transforming large datasets
Visualization Development:
Collaborate with analysts to design reusable Power BI dashboards and views
Ensure seamless integration of clean, normalized data into Power BI
Tool Integration:
Integrate Cap IQ and other external datasets into Palantir pipelines
Optimize data workflows to accelerate the creation of industry-specific templates
Collaboration and Scalability:
Work with the Product Manager and Data Analysts to align normalization rules and requirements, enabling modular and reusable data solutions
Requirements
Required Skills & Qualifications:
7-10 years in data engineering
Strong software engineering fundamentals to build high-quality pipelines
Experience with Palantir Foundry (or similar big data platforms)
Expertise in building ETL pipelines and automating data ingestion processes.
Proficiency in data wrangling, normalization, and modeling
Hands-on experience with Power BI for creating dashboards and integrating data models
Strong SQL skills for data transformation and querying
Solid understanding of ERP data systems (SAP, JD Edwards) and attributes
Nice-to-Have:
Familiarity with Cap IQ APIs and integration processes
Experience designing industry-specific data templates for Manufacturing or Retail
DanaRemoters