Senior Big Data Engineer
- Рівень:
- senior
- Джерело:
- djinni.co
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
- 5+ 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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