Palantir Data Engineer
Robotics Technologies LLC
Saint Paul, MO, United States
about 2 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Data Analysis
Microsoft Azure
Big Data
Information Systems
Information Engineering
Data Integrity
Extract Transform Load (ETL)
Python (Programming Language)
SQL Databases
Software Repository
+5 more
Google Cloud
Apache Spark
Pyspark
Information Technology
Data Pipelines
Requirements
Do you have experience in Spark implementation?, Do you have a Bachelor’s degree?, * Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, Data Engineering or a related field.
- Significant hands-on experience with Palantir Foundry.
- 5 to 7 Years of relevant experience in Palantir Foundry.
- Advanced skills in Python, PySpark, and SQL.
- Experience with big data technologies, cloud platforms (AWS, Azure, GCP), and agile methodologies.
- Strong analytical thinking and problem-solving abilities.
- Data engineers at Palantir focus on building and optimizing data pipelines within the Palantir Foundry platform.
- Design and implement scalable ETL/ELT pipelines using Foundry’s tools and code repositories.
- Use Python, PySpark, and SQL to ingest, transform, and manage large-scale data from diverse sources.
- Collaborate with data scientists and analytics teams to create data models (ontologies), ensuring data quality and governance.
- Perform data analysis, validation, and optimization to ensure data integrity and pipeline performance.
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