What are the responsibilities and job description for the Data Engineer with Palantir Foundary position at Tektend llc?
Job Details
Job Title: Data Engineer with Palantir Foundary
Location: Atlanta,GA (Hybrid)
Duration: 12 Months
Location: Atlanta,GA (Hybrid)
Duration: 12 Months
Job Description:
We are seeking a highly skilled Palantir Developer to join our team. The ideal candidate will have expertise in Palantir Foundry and/or Gotham, working on data integration, analytics, and application development to support business intelligence and operational decision-making.
We are seeking a highly skilled Palantir Developer to join our team. The ideal candidate will have expertise in Palantir Foundry and/or Gotham, working on data integration, analytics, and application development to support business intelligence and operational decision-making.
Key Responsibilities:
Develop and implement solutions using Palantir Foundry or Gotham to support data integration and analytics.
Design and optimize pipelines, data models, and workflows in Palantir.
Collaborate with stakeholders to understand business needs and translate them into technical solutions.
Develop custom applications and dashboards to visualize insights effectively.
Ensure data security, governance, and compliance within the Palantir platform.
Troubleshoot and optimize Palantir applications for performance and scalability.
Develop and implement solutions using Palantir Foundry or Gotham to support data integration and analytics.
Design and optimize pipelines, data models, and workflows in Palantir.
Collaborate with stakeholders to understand business needs and translate them into technical solutions.
Develop custom applications and dashboards to visualize insights effectively.
Ensure data security, governance, and compliance within the Palantir platform.
Troubleshoot and optimize Palantir applications for performance and scalability.
Required Qualifications:
2 years of experience working with Palantir Foundry or Gotham.
Proficiency in Python, Java, or Scala for scripting and automation.
Strong understanding of data engineering, ETL, and data modeling concepts.
Experience working with big data technologies (e.g., Spark, Hadoop).
Familiarity with APIs, cloud platforms (AWS/Azure/Google Cloud Platform), and containerization tools (Docker, Kubernetes).
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications:
- Experience with machine learning models and AI-driven analytics in Palantir.
- Knowledge of SQL, GraphQL, and data visualization tools.
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.
