A company is looking for a Senior Palantir Data Engineer to lead and manage the Palantir platform within their Enterprise Data Platform.
Key Responsibilities : Design, develop, and maintain data models, integrations, and workflows within Palantir FoundryAnalyze data within Palantir to extract insights and create visualizationsIntegrate Palantir with other systems using APIs and optimize Foundry configurations for performanceRequired Qualifications : 3-6 years of experience in data engineering or related fieldProficiency in Palantir Foundry and query languages such as Palantir Query Language or PythonUnderstanding of database structures and data modelingKnowledge of cybersecurity principles and data privacy practicesFamiliarity with machine learning and AI integration within data platforms
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent. In-depth underst...
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft ...
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