Azure Data Engineer + Palantir
2 days ago
Job Role:
-Azure Data Engineer + Palantir
Job Location
:
Noida/Gurgaon/Hyderabad/Bangalore/Pune
Experience
:- 5+ Years
We are seeking experienced
Azure Data Engineers with hands-on expertise in Palantir Foundry
to architect, build, and optimize large-scale data integration pipelines and analytical models for enterprise-scale deployments.
Core Responsibilities:
Azure Data Engineering:
- Design and develop robust data pipelines using
Azure Databricks
,
Azure Data Factory
, and
PySpark
. - Implement scalable ETL solutions leveraging
Python
and
SQL
for data ingestion, transformation, and loading. - Build and maintain data models and workflows within a modern Azure data stack environment.
- Drive automation and orchestration of data pipelines, ensuring performance, scalability, and reliability.
Palantir Foundry Platform:
- Design and develop
data integration workflows
, connecting to multiple source types and managing data pipelines using Python transforms, Foundry code repositories, and metadata-driven architecture. - Implement
model integration workflows
including logic modeling, templated reports, and operational analytics using Foundry?s platform tools. - Configure and manage
Ontology Manager
, defining object types, object views, user actions, business functions, and permissions to structure enterprise-wide data semantics. - Build custom
Foundry applications
using Workshop, writeback pipelines, and advanced actions to drive operational decision-making. - Implement
data security and governance frameworks
using Foundry?s Data Foundation and AIP (Access and Identity Permissions), including restricted access and view controls.
Collaboration and Communication:
- Collaborate across data, engineering, and product teams to implement analytical use cases using Foundry?s platform modules.
- Translate business requirements into scalable technical solutions using agile methodologies and continuous delivery practices.
- Demonstrate strong communication skills to present technical solutions to stakeholders and cross-functional teams.
Qualifications:
- 5+ years of professional experience in
Azure data engineering
, including hands-on work with
Python
,
SQL
,
PySpark
,
Azure Databricks
, and
Azure Data Factory
. - Proven experience with
Palantir Foundry
, including data integration, model building, and application development. - Deep understanding of
Foundry?s ontology-based data modeling
, security frameworks, and application modules. - Strong understanding of data governance, access control, and operational analytics within enterprise data environments.
- Ability to work in agile development teams, contribute to design discussions, and participate in sprint planning and code reviews.
- Excellent communication, problem-solving, and analytical skills.
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