Data Engineer - Palantir Foundry

V2 Solutions; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

V2 Solutions is seeking a data engineer to design, build, and maintain scalable Palantir Foundry data pipelines. You will ingest, clean, transform, and curate data from diverse sources and create reusable data products for analytics, AI/ML, and reporting.

You will collaborate with cross-functional teams, implement data quality controls, lineage, and monitoring, and apply software engineering best practices including version control and testing. English proficiency required.

Qualifications

• Bachelor's and Master's degrees required.
• At least 4 years of experience.
• Oral and written proficiency in English required.
• Hands-on experience with Palantir Foundry data engineering.

Responsibilities

• Design, develop, and maintain scalable data pipelines in Palantir Foundry using tools like Pipeline Builder, SQL, Python, and PySpark.
• Ingest, clean, transform, and curate data from diverse sources including enterprise systems, APIs, cloud platforms, and data warehouses.
• Build reliable datasets and reusable data products that support analytics, AI/ML, reporting, and operational workflows.
• Implement data quality controls, validation, lineage tracking, and monitoring to ensure trusted data consumption.
• Collaborate with cross-functional teams to translate business requirements into production-ready data solutions and model business entities.
• Optimize pipeline performance, troubleshoot production issues, and apply software engineering best practices such as version control and testing.
• Support data governance, compliance, ontology integration, and clear communication of technical insights to stakeholders.

Skills

Data modeling

ETL design

Education

Bachelor's degree

Master's degree

Tools

Palantir Foundry

SQL

Python

PySpark

Job description

Responsibilities

• Design, develop, and maintain scalable data pipelines in Palantir Foundry using tools like Pipeline Builder, SQL, Python, and PySpark.
• Ingest, clean, transform, and curate data from diverse sources including enterprise systems, APIs, cloud platforms, and data warehouses.
• Build reliable datasets and reusable data products that support analytics, AI/ML, reporting, and operational workflows.
• Implement data quality controls, validation, lineage tracking, and monitoring to ensure trusted data consumption.
• Collaborate with cross-functional teams to translate business requirements into production-ready data solutions and model business entities.
• Optimize pipeline performance, troubleshoot production issues, and apply software engineering best practices such as version control and testing.
• Support data governance, compliance, ontology integration, and clear communication of technical insights to stakeholders.

What You Must Have

• At least a Bachelor's & Master's degree
• At least 4 years of experience
• Oral and written proficiency in English required
• Hands-on experience with Palantir Foundry data engineering

What Sets You Apart

• Experienced in building Ontology-ready data products in Palantir Foundry for operational applications, dashboards, workflows, AI/ML, and data science teams.
• Skilled with Palantir AIP, AI-enabled workflows, model development, feature engineering, and data products supporting GenAI use cases.
• Proficient in Palantir Application Development tools like Workshop, Quiver, Slate, Functions, Actions, and creating user-facing operational workflows.
• Knowledgeable in API integration, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated data ingestion patterns.
• Familiar with CI/CD, automated testing, data observability, alerting, production support, incident management, and strong stakeholder communication and problem-solving skills.