Cloud and Systems Integration Developer
Maxon
Build Azure infrastructure and enterprise integrations supporting Maxon’s creative software operations. Automate deployments, identity workflows, and system connections across the organization.
Deschide
ERGOMED este un grup global de servicii medicale care sprijină companiile de biotehnologie și farmaceutice pe parcursul întregului ciclu de dezvoltare a medicamentelor. Activitățile sale includ Ergomed Clinical Research, PrimeVigilance și ADAMAS Consulting, oferind servicii de organizație de cercetare clinică, asistență în farmacovigilență și informații medicale, precum și audituri GxP. Compania lucrează la studii clinice în oncologie, boli rare și alte domenii complexe, având operațiuni în aproximativ 100 de țări.
Data Engineer – Croatia (Remote)
Build scalable data pipelines and governed data infrastructure for Ergomed Group’s pharmaceutical research and business intelligence work. Support analytics, AI, and machine learning solutions.
Descriere
- Build and optimize data pipelines that connect cloud, on-premises, and API sources
- Prepare raw data for analytics and business intelligence
- Automate manual data preparation with modern architectures and tools
- Monitor performance, resolve bottlenecks, and improve workflows
- Apply data quality checks and governance standards to protect data integrity
- Work with data scientists and analysts to improve machine learning models
- Help business teams access and use data effectively
- Partner with IT and business stakeholders to deliver reliable data solutions
Cerințe
- Bachelor’s degree in computer science, data science, software engineering, or a related quantitative discipline
- Hands-on experience managing data, including integration, modeling, optimization, and quality
- Experience creating analytical platforms that deliver business value
- Background working with cross-functional teams and business stakeholders on enterprise data programs
- Understanding of data warehouses, data lakes and lakehouses, data fabric, data mesh, and MPP engines
- Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Kafka, Airflow, and Spark
- Intermediate proficiency with BI tools such as Power BI, Tableau, or Looker
- Experience developing data solutions for AI, machine learning, and business intelligence
- Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or comparable tools
- Advanced problem-solving and debugging ability
- Strong communication skills to explain technical concepts to executive, business, IT, and quantitative audiences
- High ethical standards and a commitment to regulatory compliance
Beneficii
- Option to work remotely
- Collaborative, engaged team
- Contribute to work supporting the delivery of safe and effective pharmaceutical treatments to patients
- Inclusive and diverse workplace that welcomes everyone and values every voice
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