U-set Consulting
Data Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
17 August 2026
What they need
LTIMindtree - Data Engineer- Primary skill is Palantir + Foundry + Ontology + Workshop
Grade-P3/ P4 (6 to 12 years)
JR- 1477726
Notice Period-0 to 60 days
Location-LTIMindtree - Mumbai,Bengaluru,Chennai,Pune,Hyderabad.Kolkata,Bhubaneswar,Noida,Gurugram
PFB JD details for reference
Min 2 yrs exp in Pipeline builder, code repository, ontology, Workshop, typescript, quiver, AIP (good to have), pyspark, sql
exp in creating data product in ontology
atleast 1-2 front end app creation in workshop
Primary skill is Palantir + Foundry + Ontology + Workshop
**Job Summary
Seeking a skilled Data Engineer proficient in Palantir SQL Python Spark and Hadoop to design and optimize scalable data solutions within Palantir Foundry environment
Job Description
Must have strong knowledge of SQL Python Spark and Hadoop
Experience with Python Spark and TypeScript for data processing and application development
Optimize performance of data transformations and analytical queries
Collaborate with crossfunctional teams to understand business requirements and translate them into effective data solutions
Work hours from 0200 PM IST to 1130 PM IST
Familiarity with designing and implementing scalable data pipelines and workflows using Palantir Foundry
Working knowledge of Palantir modules such as Contour Quiver Vertex and app development
Develop and maintain data models ontology layers and operational dashboards
Ensure data quality integrity and governance across all Palantirbased solutions
Stay updated with Palantir platform updates and best practices
Desired skills include Workshop level 4 Quiver level 4 AIP level 3 Pipeline Builder level 3 Code Repository level 3 PySpark level 3 and Ontology level 3
Roles and Responsibilities
Design develop and optimize scalable data pipelines and workflows
Collaborate with stakeholders to gather and analyze business requirements
Translate business needs into technical data solutions leveraging Palantir Foundry
Maintain and enhance data models ontology layers and dashboards to support analytics
Monitor and improve data quality integrity and governance standards
Utilize modules like Contour Quiver and Vertex for application development
Participate in code repository management and pipeline building activities
Continuously update skills and knowledge on Palantir platform features and best practices
Work effectively within the specified IST shift timings**
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