Join and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world
Lead and deliver data engineering solutions using Palantir and PySpark
Collaborate with Solution Architect and Product Owner to meet business requirements
Mentor team members and onboard new technologies

Requirements

Total experience of 10+ years in Data Engineering using PySpark
At least 3-4 years of experience in Palantir Foundry
Strong experience with Palantir Data Engineering features such as, Code Repo, Code Workbook, Pipeline Build, AIP logic, OSDK, migration techniques, Data Integration and Security setup
Design, develop Data Pipelines
Excellent skills in PySpark and Spark SQL
Hands on with code Build and deployment in Palantir
Good to know on Contour, Quiver and other Analytical Solution
Added advantage to have API skills and basics (such as React JS)
Must lead a team of 6-7 technical associates with PySpark skills
Willingness to mentor the team and onboard in new technologies
Work with Solution Architect, Product Owner, and Business users to understand the requirements to lead and deliver the products
Adopt and propose innovative solutions in Palantir Platform

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data EngineeringPySparkSpark SQLData PipelinesCode RepoCode WorkbookPipeline BuildAIP logicOSDKData Integration

Soft Skills

mentoringteam leadershipcollaborationcommunicationonboardingproblem-solvinginnovation