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  • Strong Middle Data Engineer
    New

    Strong Middle Data Engineer

    11 630 - 16 670 PLN/monthNet per month - B2B
    9 691 - 13 568 PLN/monthGross per month - Permanent
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B, Permanent
    Operating mode
    Remote
    N-iX

    N-iX

    N-iX is a global software development service company that helps businesses across the globe create mind-blowing software products. Founded in 2002, today we’re a team of 2,200+ tech-savvy professionals working on innovative projects for global industry leaders and Fortune 500 companies.

    Company profile

    Tech stack

      PySpark

      regular

      Azure

      regular

      SQL

      regular

      big data technologies

      regular

      Python

      regular

    Job description

    Online interview
    Friendly offer

    We are seeking a proactive Strong Middle Data Engineer to join our vibrant team. 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.


    Key Responsibilities:

    • 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, incorporating innovative solutions into data engineering practices, and effectively document and communicate technical solutions and processes.


    Tools and skills you will use in this role:

    • Palantir Foundry
    • Python
    • PySpark
    • Azure
    • SQL
    • TypeScript


    Required:

    • 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 Azure cloud services
    • Expertise in data modeling, database design, and optimization.
    • 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.
    • Previous experience working with JavaScript and TypeScript


    We offer:

    • Flexible working format - remote, office-based or flexible
    • A competitive salary and good compensation package
    • Personalized career growth
    • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
    • Active tech communities with regular knowledge sharing
    • Education reimbursement
    • Memorable anniversary presents
    • Corporate events and team buildings
    • Other location-specific benefits


    11 630 - 16 670 PLN/month

    Net per month - B2B

    9 691 - 13 568 PLN/month

    Gross per month - Permanent

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