Data Engineer-Palantir

This role is for one of the Weekday's clients

Min Experience: 3 years

Location: Hyderabad

JobType: full-time

We are seeking a highly skilled Data Engineer – Palantir to design, build, and scale robust data platforms using Palantir Foundry. This role is ideal for data engineers who enjoy working on complex, large-scale data ecosystems and transforming raw data into reliable, high-quality data assets that drive business decisions. You will work closely with cross-functional teams including product, analytics, and business stakeholders to deliver end-to-end data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data models using Palantir Foundry.
• Leverage Foundry’s core components such as Pipelines, Ontology, Code Repositories, and Workshop to deliver production-grade data solutions.
• Ingest, transform, and curate data from multiple structured and unstructured sources ensuring data quality, accuracy, and reliability.
• Build reusable datasets and data products that support analytics, reporting, and operational use cases.
• Implement best practices for data governance, lineage, access control, and versioning within Palantir Foundry.
• Optimize performance and scalability of data workflows for large datasets and high-volume processing.
• Collaborate with data scientists, analysts, and business users to translate requirements into effective data engineering solutions.
• Monitor data pipelines, troubleshoot issues, and proactively improve system reliability and efficiency.
• Contribute to architectural decisions, technical documentation, and continuous improvement of data engineering standards.

Required Skills & Qualifications

• 3–9 years of hands-on experience in Data Engineering or related roles.
• Strong hands-on experience with Palantir Foundry, including pipeline development and data modeling.
• Deep understanding of ETL/ELT processes, data transformation, and large-scale data processing.
• Proficiency in SQL and experience with Python for data engineering workflows.
• Experience working with relational and analytical databases, data lakes, and cloud-based data platforms.
• Solid understanding of data governance, metadata management, and data quality frameworks.
• Ability to work with complex datasets and design scalable, maintainable data architectures.
• Strong problem-solving skills and ability to work independently in fast-paced environments.

Preferred Qualifications

• Experience working on enterprise-grade data platforms or mission-critical systems.
• Familiarity with cloud environments (AWS, Azure, or GCP).
• Exposure to analytics, BI tools, or data science workflows within Palantir Foundry.
• Strong communication skills and ability to engage with technical and non-technical stakeholders.