Palantir Foundry Data Engineer Contract Exp : 5 – 10 Years Azure Data Engineering Primary Skill Secondary Skill Core Coding Palantir Foundry Azure Data Engineering SQL, Python, PySpark Role Overview We are seeking a skilled Data Engineer with strong hands-on experience in Palantir Foundry and good proficiency in SQL, Python, and PySpark. The candidate should also have basic knowledge or practical exposure to Azure Data Engineering technologies. Palantir Foundry is the primary skill for this role, while Azure Data Engineering experience is secondary. The successful candidate will support data pipelines, workflows, and applications while ensuring operational stability, data quality, and effective stakeholder collaboration. Mandatory Skills and Experience ·Strong hands-on experience with Palantir Foundry, including practical exposureto data pipelines, workflows, datasets, applications, or platform support. ·Good hands-on proficiency in SQL for data extraction, transformation, validation, and troubleshooting. ·Positive hands-on proficiency in Python for data processing, automation, and support utilities. ·Good hands-on proficiency in PySpark and a sound understanding of Apache Spark and distributed data-processing concepts. ·Basic knowledge or working experience in Azure Data Engineering. ·Strong analytical, debugging, and problem-solving skills. ·Effective communication and stakeholder-management skills.



·Ability to work proactively in a support-oriented environment and take ownership of operational issues. Azure Knowledge Expected Working knowledge or basic exposure to one or more of the followingis desirable: ·Azure Data Factory(ADF) ·Azure Data Lake Storage (ADLS) ·Azure SQL Database ·Azure Blob Storage ·Azure Databricks ·Azure DevOps and basic CI/CD practices Preferred Skills ·Experience supporting production data platforms or business-critical data applications. ·Familiarity with data-quality monitoring, incident management, root-cause analysis, and service-support processes. ·Exposure to moderndata-platform architecture, ETL/EL patterns, and clouddata services. ·Understanding of data governance, security, lineage, and access-control principles. ·A proactive learning mindset and willingness to strengthen Azure Data Engineering capabilities. Ideal Candidate Profile The ideal candidate is Palantir-first: someone who can contribute immediately within Palantir Foundry, is comfortable working hands-on with SQL, Python,and PySpark, and has enough Azure Data Engineering knowledge to collaborate effectively across the wider data platform. Strong Azure expertise is beneficial but should not substitute for meaningful Palantir Foundry experience. Screening Priorities Skill Area Priority Expected Proficiency Palantir Foundry SQL, Python, and PySpark Azure Data Engineering Basic or working knowledge Azure Databricks / DevOps

📌 Palantir Foundry Data Engineer (India)
🏢 Adroit India
📍 India