Palantir Foundry Developer - Azure Databricks
First seen by Alion on Aug 13, 2026.
Job Description :
We are seeking a skilled Palantir Foundry Developer in Pune with 3+ years of experience in designing and developing scalable enterprise applications.
About Us :
CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.
Must-Have Skills :
- 3 - 5 years of experience in Data Engineering or Data Analytics.
- Hands-on experience with Palantir Foundry.
- Strong working knowledge of Azure Databricks.
- Proficiency in Python.
- Strong expertise in Advanced SQL, including query optimization and complex data transformations.
- Experience with Data Integration, ETL Pipelines, and Data Transformation.
- Understanding of data warehousing concepts and relational databases.
- Strong analytical, problem-solving, and debugging skills.
Key Responsibilities :
- Design, develop, and maintain data pipelines using Palantir Foundry.
- Build scalable ETL/ELT workflows for data ingestion, cleansing, transformation, and loading.
- Develop and optimize data processing solutions using Azure Databricks.
- Write efficient and optimized code in Python and Advanced SQL.
- Integrate data from multiple sources while ensuring data quality and consistency.
- Perform data modeling, transformation, and validation to support business reporting and analytics.
- Collaborate with business stakeholders, data analysts, and engineering teams to understand data requirements.
- Monitor, troubleshoot, and optimize existing data pipelines for performance and reliability.
- Follow best practices for data governance, security, and documentation.
Why Join CodeVyasa?
- Work on innovative, high-impact projects with leading global clients.
- Exposure to modern technologies, scalable systems, and cloud-native architectures.
- Continuous learning and upskilling opportunities through internal and external programs.
- Supportive and collaborative work culture with flexible policies.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage for employees and dependents.
Skills
Palantir Foundry, Data Engineering, Python, Azure Databricks, SQL, ETL, Data Pipeline, Data Ingestion