Palantir Foundry Developer

Code Vyasa; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Code Vyasa is seeking a Palantir Foundry Developer in Pune to drive analytics and data-driven initiatives. You will develop and maintain Foundry pipelines, integrate enterprise data, and deliver scalable analytical solutions for business users.

The role requires strong hands-on experience with Palantir Foundry, Azure Databricks, Azure Data Lake, SQL, and Python. Power BI is a nice-to-have, while Databricks notebooks and Spark processing are core.

Qualifications

• 3+ years of experience in Analytics, Data Engineering, or Data Platform Development.
• Hands-on experience with Palantir Foundry is mandatory.
• Experience with data integration and transformation within Palantir Foundry.
• Hands-on experience building and maintaining Foundry pipelines and workflows.
• Experience with Ontology-based Data Modelling and analytical solutions.
• Strong knowledge of Azure Databricks.
• Experience with Databricks SQL, data processing, and transformation.
• Hands-on experience developing and maintaining Databricks notebooks.
• Understanding of Spark-based data processing.
• Experience with Azure Data Lake and Azure data ecosystems.
• Strong proficiency in Advanced SQL and Python.
• Experience with data extraction, cleansing, transformation, and analysis.
• Strong understanding of Data Modelling and handling large datasets.
• Understanding of cloud-based data architectures.
• Strong analytical and problem-solving skills.
• Experience working with stakeholders and business users.
• Understanding of Data Governance and Data Quality practices.

Responsibilities

• Develop and maintain scalable solutions within the Palantir Foundry ecosystem.
• Build and maintain Foundry data pipelines and workflows.
• Integrate, extract, cleanse, transform, and analyze data from multiple enterprise sources.
• Develop ontology-based data models and analytical solutions.
• Build business-facing analytical solutions within Palantir.
• Develop and maintain Azure Databricks notebooks for data processing and transformation.
• Work with Azure Data Lake and modern cloud-based data platforms.
• Develop complex SQL queries and Python-based data processing solutions.
• Translate business requirements into scalable analytical solutions.
• Collaborate with business users and stakeholders to understand requirements.
• Ensure data quality and follow data governance practices.
• Support reporting and visualization requirements using Power BI where required Palantir Foundry Developer

Skills

Palantir Foundry

Azure Databricks

Advanced SQL

Python

Data integration

Data transformation

Foundry pipelines

Ontology-based data modelling

Databricks SQL

Spark-based processing

Azure Data Lake

Data governance

Stakeholder management

Data quality

Tools

Power BI

SSAS

DirectQuery

DAX

Power Query

Job description

We are looking for a professional with strong hands‑on experience in Palantir Foundry ll Pune ll 3+yrs to support analytics and data-driven initiatives. The ideal candidate should have experience developing and maintaining solutions within the Palantir ecosystem, integrating and transforming enterprise data, and delivering scalable analytical solutions for business users.

The role requires strong expertise in Palantir Foundry, supported by knowledge of Azure Databricks, Azure Data Lake, SQL, and Python. Power BI is not the primary focus and will be considered a good‑to‑have skill.

Mandatory Skills

• 3+ years of experience in Analytics, Data Engineering, or Data Platform Development


• Strong hands‑on experience with Palantir Foundry mandatory


• Experience with data integration and transformation within Palantir Foundry


• Hands‑on experience building and maintaining Foundry pipelines and workflows


• Experience with Ontology‑based Data Modelling and analytical solutions


• Experience developing business‑facing solutions within Palantir


• Strong knowledge of Azure Databricks


• Experience with Databricks SQL, data processing, and transformation


• Hands‑on experience developing and maintaining Databricks notebooks


• Understanding of Spark‑based data processing


• Experience with Azure Data Lake and Azure data ecosystems


• Strong proficiency in Advanced SQL and Python


• Experience with data extraction, cleansing, transformation, and analysis


• Strong understanding of Data Modelling and handling large datasets


• Understanding of cloud‑based data architectures


• Strong analytical and problem‑solving skills


• Experience working with stakeholders and business users


• Understanding of Data Governance and Data Quality practices

Preferred Qualifications

• Experience with Power BI Dashboard Development


• Knowledge of DAX and Power Query


• Experience with SSAS‑based reporting solutions


• Knowledge of DirectQuery


• Experience with KPI reporting and visualization


• Exposure to Business Intelligence and Data Visualization


• Experience integrating and transforming data from multiple enterprise data sources


• Excellent communication and stakeholder management skills

Key Responsibilities

• Develop and maintain scalable solutions within the Palantir Foundry ecosystem


• Build and maintain Foundry data pipelines and workflows


• Integrate, extract, cleanse, transform, and analyze data from multiple enterprise sources


• Develop ontology‑based data models and analytical solutions


• Build business‑facing analytical solutions within Palantir


• Develop and maintain Azure Databricks notebooks for data processing and transformation


• Work with Azure Data Lake and modern cloud‑based data platforms


• Develop complex SQL queries and Python‑based data processing solutions


• Translate business requirements into scalable analytical solutions


• Collaborate with business users and stakeholders to understand requirements


• Ensure data quality and follow data governance practices


• Support reporting and visualization requirements using Power BI where required Palantir Foundry Developer

Why Join Us?

• Work on innovative, high-impact projects with leading global clients.


• Exposure to large-scale Data Science, AI, and Analytics initiatives.


• 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.