Palantir Data Engineer

Role Overview Zorba AI is hiring an experienced Palantir Data Engineer to join its growing technology team. This is a full-time opportunity open to candidates across India, offering a chance to work at the intersection of data engineering and artificial intelligence. You will play a key role in building intelligent, scalable data solutions using cutting-edge Palantir platforms and modern ML frameworks. Key Responsibilities - Design and develop robust data pipelines using PySpark and Palantir Foundry - Build, train, and deploy machine learning models aligned with real-world business use cases - Perform data integration, transformation, and large-scale processing across diverse datasets - Collaborate closely with stakeholders to convert business requirements into actionable AI solutions - Create dashboards, automated workflows, and custom applications within Palantir Foundry - Maintain data quality standards, enforce governance policies, and optimise pipeline performance - Diagnose and improve existing data and AI solutions to ensure reliability and efficiency Required Qualifications - Proven hands-on experience with Palantir Foundry or other Palantir platforms - Strong programming skills in Python and PySpark - Solid grounding in machine learning concepts including supervised and unsupervised models - Experience with ETL pipelines, data engineering workflows, and big data processing - Good working knowledge of SQL and data modelling principles - Strong analytical thinking and communication skills with the ability to manage stakeholder expectations - Comfortable working within agile delivery environments Why Join Us Zorba AI offers a collaborative environment where you can work on high-impact data and AI projects using some of the most advanced platforms in the industry. This is an excellent opportunity to grow your expertise in Palantir, machine learning, and enterprise-scale data engineering.

- Palantir Foundry or Palantir platform experience - Strong Python and PySpark programming skills - Machine learning model development and deployment - ETL pipeline design and big data processing - SQL and data modelling knowledge - Experience with data integration and transformation - Familiarity with cloud platforms such as AWS, Azure, or GCP - Exposure to LLMs or Generative AI is a plus - Understanding of data governance and data lineage concepts - Strong communication and stakeholder management skills

- Competitive annual salary between 11 LPA and 17 LPA - Full-time permanent employment - Pan India work location flexibility - Opportunity to work with advanced Palantir and AI technologies - Collaborative and agile work culture