What are the responsibilities and job description for the Data Engineer (Exp-9 Y) with Palantir exp-Full time-Onsite position at Visionary Innovative Technology Solutions?
We are looking for an experienced Data Engineer with strong hands-on expertise in Palantir Foundry, Python, PySpark, and SQL to build scalable data pipelines, integrate enterprise data sources, and deliver reliable data engineering solutions.
Key Responsibilities
Design, develop, and maintain data pipelines using Palantir Foundry.
Build and optimize data transformations using Python, PySpark, and SQL.
Work with Foundry tools such as Pipeline Builder, Ontology, Workshop, and Code Repositories.
Integrate data from APIs, SFTP, databases, and cloud-based data sources.
Develop data models and support data quality, lineage, and governance.
Build workflows, alerts, and operational data applications.
Optimize pipeline performance and troubleshoot data processing issues.
Collaborate with business stakeholders, data architects, and engineering teams in an Agile environment.
Required Skills
5 years of experience in Data Engineering.
Strong hands-on experience with Palantir Foundry.
Proficiency in Python, PySpark, and SQL.
Experience with ETL/ELT pipelines and data integration.
Knowledge of data modeling, data quality, governance, and security.
Experience with APIs, cloud platforms, and distributed data processing.
Strong analytical, problem-solving, and communication skills.
Good to Have
Experience in Financial Services, Fraud Investigation, or Risk Analytics.
Knowledge of Palantir AIP, AI/Agentic workflows, and RAG architectures.
Experience with enterprise data platforms and workflow automation.