Palantir Data Integration Engineer

  • Jersey City, NJ
  • Posted 3 hours ago | Updated 3 hours ago

Overview

On Site
Contract - W2
Contract - Long term

Skills

API
ETL
SQL
Lambda
Palantir
Gotham
Foundry
Kappa

Job Details

Title: Palantir Data Integration Engineer

Location: Jersey City, NJ



Skills:

1. Palantir Platform Knowledge: Deep understanding of Palantir's software suite, including Palantir Gotham and Palantir Foundry, particularly the Kappa (streaming data) and Lambda (batch data) architectures.

2. ETL/ELT Processes: Experience with Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes, understanding how to move and transform data between systems.

3. Programming Skills: Proficiency in languages such as Python, Java, or Go, which are commonly used in Palantir's platform.

4. API Development & Consumption: Skills in creating and consuming APIs to facilitate data exchange between different systems.

5. SQL Proficiency: Strong abilities in writing complex SQL queries for data manipulation and extraction.

6. Data Warehousing: Familiarity with data warehousing concepts and tools, like Hadoop, Spark, or cloud-based data warehouses (e.g., Google BigQuery, Amazon Redshift).

7. Data Modeling: Ability to design and create data models that effectively represent real-world entities and their relationships.

8. Data Security & Compliance: Understanding of data security best practices and compliance requirements, such as GDPR, HIPAA, etc.

9. Data Quality & Management: Strong understanding of data quality principles and best practices.

10. Version Control: Experience with version control systems like GIT.

11. Cloud Computing: Knowledge of cloud platforms like AWS, Azure, or Google Cloud, and understanding of how to deploy and manage applications on these platforms.

12. Problem-Solving Skills: Ability to troubleshoot issues, debug code, and optimize data pipelines for performance.

13. Collaboration & Communication: Strong interpersonal skills to collaborate with various teams, explain technical concepts to non-technical stakeholders, and document processes.

14. Agile Methodologies: Experience working in Agile environments, understanding Scrum or Kanban frameworks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.