Middle Data Engineer @ N-iX

2 weeks ago


Remote Kraków Wrocław Warsaw, Czech Republic N-iX Full time
  • 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
,[Design, implement, and maintain scalable data pipelines in Palantir Foundry, ensuring end-to-end data integrity and optimizing workflows., Collaborate with cross-functional teams to gather and translate data requirements into robust and efficient solutions, leveraging your expertise in cloud-based data engineering., Develop and optimize ETL processes to ensure timely and accurate data delivery to various business applications, while implementing data governance and security best practices to safeguard sensitive information., Troubleshoot and resolve issues related to data pipelines, ensuring continuous data availability and reliability to support data-driven decision-making processes., Stay current with emerging technologies and industry trends, incorporate innovative solutions into data engineering practices, and effectively document and communicate technical solutions and processes.] Requirements: Data engineering, Python, Spark, SQL, PySpark, TypeScript, Apache Spark, Docker, Kubernetes, Apache Lucene, Palantir Foundry Tools: Agile, Scrum. Additionally: Flexible working hours and remote work possibility, Mentoring program, Training budget, English lessons, Compensation of Certifications, Active tech community, International team, Referral program, Modern office, Free coffee, Kitchen, Friendly atmosphere.

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