10 Aug
|
Weekday AI
|
Pune
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 solid 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.
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 a
📌 Palantir Foundry Developer (Pune)
🏢 Weekday AI
📍 Pune