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Middle Big Data Engineer

Рівень:
middle
Джерело:
djinni.co
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Що робити

  • Collaborate with cross-functional teams to gather business requirements and design, implement, and maintain scalable data pipelines in Palantir Foundry, ensuring end-to-end data integrity and optimized workflows
  • Design and maintain data ingestion, transformation, and orchestration pipelines using Palantir Foundry, Python, and PySpark
  • Develop reporting-ready datasets and data models to support downstream analytics and Power BI reporting
  • Develop, optimize, and maintain efficient ETL/ELT processes to collect, process, and integrate data from multiple sources, ensuring timely and accurate data delivery
  • Implement data quality validation, monitoring, and health checks to ensure reliability and consistency of data assets

Що очікуємо

  • 3+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
  • Strong proficiency in Python and PySpark
  • Proficiency with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.)
  • Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow)
  • Expertise in data modeling, data warehousing, and ETL/ELT concepts

Що пропонуємо

  • Experience with market research data
  • Familiarity with Veeva CRM, Reltio, SAP, and/or Palantir Foundry
  • Background in pharma or healthcare
  • Experience with automation / pipeline optimization

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