This role is for one of the Weekday's clients

Min Experience: 3+ years

Location: Pune
JobType: full-time

We are looking for a skilled Palantir Foundry Developer with 3–7 years of experience in designing, developing, and optimizing enterprise-scale data platforms and analytics solutions. The ideal candidate should have hands-on expertise in Palantir Foundry, Azure Databricks, and Azure Data Lake, with a strong understanding of modern data engineering practices and cloud-based data ecosystems.

In this role, you will collaborate with cross-functional teams to build scalable data pipelines, develop robust data models, and enable data-driven decision-making across the organization. You will work closely with business stakeholders, data architects, and engineering teams to transform raw data into actionable insights using Palantir Foundry and Azure technologies.

Requirements

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Palantir Foundry.
• Build and optimize data workflows, transformations, and ontology models within the Foundry platform.
• Integrate data from multiple structured and unstructured sources into enterprise data ecosystems.
• Develop and maintain ETL/ELT processes using Azure Databricks and Spark.
• Design, implement, and manage data storage solutions using Azure Data Lake.
• Collaborate with business users to gather requirements and translate them into technical data solutions.
• Build reusable data assets, pipelines, and workflows that improve data accessibility and reliability.
• Optimize data processing performance and ensure high availability of data pipelines.
• Monitor data quality, troubleshoot pipeline failures, and implement robust validation mechanisms.
• Work closely with cloud engineers and architects to deploy secure and scalable data solutions.
• Participate in code reviews, testing, documentation, and release management activities.
• Ensure compliance with security, governance, and data management best practices.
• Stay updated with the latest advancements in Palantir Foundry, Azure cloud services, and modern data engineering technologies.

Required Skills

Must-Have Skills

• Strong hands-on experience with Palantir Foundry development and implementation.
• Experience building data pipelines, Code Repositories, Pipeline Builder, Workshop, and Ontology in Foundry.
• Proficiency in Azure Databricks and Apache Spark for large-scale data processing.
• Experience working with Azure Data Lake (ADLS Gen2) for enterprise data storage.
• Strong understanding of ETL/ELT concepts and modern data engineering methodologies.
• Experience working with SQL and data transformation techniques.
• Familiarity with Python or PySpark for data engineering tasks.
• Knowledge of distributed data processing frameworks.
• Understanding of data modeling, metadata management, and data governance principles.
• Experience integrating APIs and external data sources.

Good-to-Have Skills

• Experience with Azure Synapse Analytics or Azure Data Factory.
• Knowledge of Azure DevOps and CI/CD pipelines.
• Familiarity with Git version control.
• Experience working with REST APIs and cloud-native architectures.
• Exposure to Power BI or other business intelligence tools.
• Understanding of data security, access controls, and compliance standards.
• Experience with Agile/Scrum development methodologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 3–7 years of professional experience in data engineering or cloud data platform development.
• Proven experience delivering enterprise-scale data integration and analytics projects.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and stakeholder management abilities.
• Ability to work independently as well as collaboratively in a fast-paced environment.

What You'll Bring

The ideal candidate is passionate about building scalable data platforms and leveraging modern cloud technologies to solve complex business challenges. You should possess a strong understanding of enterprise data architecture, enjoy working with large datasets, and have the ability to design reliable, high-performance solutions using Palantir Foundry, Azure Databricks, and Azure Data Lake. If you thrive in a collaborative environment and enjoy driving innovation through data, this role offers an excellent opportunity to work on impactful, enterprise-grade solutions.