Palantir Data Engineer - Senior Associate
- Preludesys
- 5 - 10 years
- Hyderabad
- 4 months ago
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Job Description
Hi,
Greetings from Preludesys India Pvt Ltd!!
We are hiring for one of our prestigious clients for the below position!!!
Job Opportunity: Palantir Data Engineer - Senior Associate (5-9 Years)
Notice Period: Immediate - 30 Days
Job Requirements and Preferences
Basic Qualifications
- Minimum Degree Required:
Bachelor's degree in computer science, Data Engineering, Data Science, Information Systems, or a related technical field - Minimum Years of Experience:
59 years of hands-on data engineering experience, including 2+ years working with Palantir Foundry or Gotham, Palantir Foundry, Snowflake (ingest/query), Kafka (streaming), Python & Pyspark, SQL, Data Modeling
Preferred Qualifications
- Degree Preferred:
Master's degree in data science, Analytics, Computer Science, Information Systems, or related discipline - Preferred Fields of Study:
Data Processing/Analytics/Science, Management Information Systems, Software Engineering
Preferred Knowledge & Skills
As a Senior Associate, you architect, develop, and optimize end-to-end data solutions on Palantir platforms, while mentoring junior teammates. You demonstrate deep technical acumen across:
- Palantir Platform & Data Modeling
Design and maintain Foundry ontologies, datasets, and code workbooks
Build reusable transforms and data models that underpin business workflows
- Palantir Foundry, Snowflake (ingest/query), Kafka (streaming), Python & Pyspark, SQL, Data Modeling
- Cloud-Scale Data Engineering
Develop and optimize ETL/ELT pipelines in Python (PySpark) and SQL
Integrate diverse sources (batch, streaming, JDBC/ODBC, REST/Kafka/Kinesis) into Foundry
Build and deploy data pipelines using Snowflake
- Performance & Scalability
Tune high-volume, latency-sensitive data feeds for both batch and event-driven patterns
Employ caching, partitioning, and parallelization best practices - DevOps & Automation
Implement CI/CD pipelines with Git, Docker, Kubernetes, and infrastructure-as-code
Automate testing, deployment, and versioning of Foundry code - Data Governance & Quality
Leverage Foundrys built-in lineage, access controls, and monitoring capabilities
Collaborate with data stewards to define quality metrics and enforce policies - Cloud & Infrastructure
Hands-on experience with AWS, Azure or GCP services (e.g., S3, Glue, Dataflow) supporting Palantir deployments
Understand network security, IAM, and multi-cloud/hybrid architectures - Collaboration & Mentorship
Partner with data scientists, analysts, and architects to translate requirements into robust solutions
Coach junior engineers, share best practices, and drive continuous improvement - Communication & Delivery
Present technical designs and performance analyses to senior stakeholders
Contribute accelerators, playbooks, and internal tools to accelerate client delivery
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: PreludesysLocation(s): Hyderabad
Keyskills: Snowflake Palantir Foundry Kafka Python SQL Pyspark Data Modeling
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Preludesys
PreludeSys is a growing company and is driven by values of ¢Leadership, Passion, Accountability, Collaboration, Quality¢¢ and our culture is reflected by these values.Incorporated in year 1998, is a leading technology services provider delivering IT & IT-enabled business solutions to co...
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