Middle Data Engineer @ N-iX
2 weeks ago
- 4+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
- Proven experience as a Data Engineer with a focus on cloud-based solutions.
- Strong proficiency in Python, and PySpark
- Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).
- Expertise in data modeling, database design, and optimization.
- Previous experience or readiness to work with TypeScript
- Familiarity with Big Data technologies (e.g., Apache Spark, Hadoop) is a plus.
- Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities.
Nice to have:
- Certification in Cloud platforms, or related areas.
- Proficiency in containerization technologies (e.g., Docker, Kubernetes).
- Experience with search engine Apache Lucene, Webservice Rest API
- Familiarity with Veeva CRM, Reltio, SAP, and/or Palantir Foundry.
- Knowledge of pharmaceutical industry regulations, such as data privacy laws, is advantageous.
We are seeking a proactive Middle Data Engineer to join our vibrant team.
Welcome bonus: $1000
In this role, you will take on a pivotal position, collaborating closely with senior data engineers to architect, develop, and maintain sophisticated data pipelines, Ontology Objects, and Foundry Functions within Palantir Foundry. The ideal candidate will possess a robust background in cloud technologies, data architecture, and a passion for solving complex data challenges.
Tools and skills you will use in this role:
- Palantir Foundry
- Python
- PySpark
- SQL
- TypeScript
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