Senior Palantir Engineer

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Nagarro

πŸ“Remote - Hungary

Job highlights

Summary

Join Nagarro, a rapidly growing digital product engineering company, as a Senior Developer specializing in Palantir. You will collaborate with cross-functional teams to design and deliver impactful data solutions across various domains. This role requires extensive experience with Palantir and Azure or Google Cloud platforms. You will develop technical migration plans, build scalable data ingestion frameworks, and ensure data quality. Technical leadership and strong communication skills are essential. The ideal candidate possesses a strong background in data modeling, PySpark, and SQL.

Requirements

  • 8 to 10 years of IT experience
  • Minimum of 4 years of hands-on experience with Palantir
  • Expertise in cloud platforms, particularly Azure or Google Cloud
  • Strong background in data modeling and source system analysis
  • Proficiency with PySpark
  • Mastery of SQL
  • Ability to perform data profiling, cataloging, and mapping for designing and constructing data flows
  • Experience with data visualization and exploration tools
  • Proven ability to provide technical leadership and guidance to teams
  • Strong problem-solving skills, with the ability to translate business requirements into actionable data science solutions
  • Excellent communication skills, capable of conveying complex technical concepts to both technical and non-technical stakeholders
  • Effective team player with outstanding interpersonal and collaboration skills
  • Proven ability to manage multiple projects concurrently, delivering high-quality results within deadlines

Responsibilities

  • Develop a comprehensive technical migration plan involving data ingestion, transformation, storage, and access control using Azure Data Factory and data lake solutions
  • Build scalable and reusable frameworks for efficient data ingestion
  • Ensure data quality and integrity throughout the data pipeline by implementing robust validation and cleansing mechanisms
  • Work with event-based and streaming technologies for real-time data processing
  • Provide technical leadership and support, addressing technical challenges and guiding the team during migration and post-migration phases
  • Stay current with advancements in cloud computing, data engineering, and analytics technologies to recommend best practices and industry standards for data lake implementations

Preferred Qualifications

  • Proficiency in Power BI
  • Experience preparing data for Data Science and Machine Learning

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