Senior Big Data Engineer Palantir
Senior Big Data Engineer Palantir
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We are looking for a Palantir Expert with deep expertise in Foundry and AIP to lead digital transformation initiatives for the client. This role involves delivering AIpowered datadriven solutions across supply chain and operational domains. The ideal candidate combines strong technical with clientfacing leadership and enterprisegrade solutioning.
Key Responsibilities:
- Lead delivery of Palantir Foundry and AIP use cases for supply chain optimization and AIenhanced decision support.
- Architect and deploy operational workflows ontologies and AI copilots within Palantir environments.
- Serve as the primary interface with client teams enabling rapid prototyping and value realization.
- Provide strategic guidance and handson support throughout the project lifecycle from design to rollout.
- Ensure compliance with data governance traceability and operational performance requirements.
Qualifications :
- 8 to 10 years of experience in data engineering enterprise analytics or platform development
- 3 to 5 years of experience with Palantir technologies.
- Strong handson expertise in Foundry and AIP.
- Expertise with ontology modeling and schema design Code Workbooks data Object creation Operational Workflows (OPW) and secure governed and auditable data workflows at scale.
- Proficient in Python and SQL for data transformation and logic development.
- Strong clientfacing experience capable of leading workshops use case discussions and stakeholder engagement.
- Proven technical leadership in crossfunctional environments guiding both internal and client teams
Additional Information :
Nice to have:
- Familiarity with manufacturing or food production ecosystems
- Understanding of Supply Chain processes Procurement & PO Optimization Inventory & Aged Management Key
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
