Palantir Data Engineer

3 days ago

Bengaluru Hyderabad, India Preludesys Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 Foundry's 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

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