Data Engineer

Descripción del trabajo

Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.

At Quantori we are seeking a Data Engineer for an ongoing Life Science project to be engaged in building data pipelines and leveraging cloud technologies.

The team works in the Central European Time.

Responsibilities:

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• Data organization and analysis: handling structured, semi-structured, unstructured, and image-based data.
  
• Building data systems and pipelines
  
• Preparing data for prescriptive and predictive modeling
  
• Designing end-to-end pipelines within a hybrid big data architecture, using Cloud Native Azure, Databricks, Spark, Scala, sbt, Airflow, Python, SQL, etc.
  
• Leveraging Azure Cloud services for building data pipelines and ensuring effective monitoring
  

What we expect:

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• 3+ years of relevant experience in the Data Engineering field
  
• Expertise in Spark
  
• Expertise in Databricks
  
• Experience in working with Azure Cloud
  
• Strong SQL skills
  
• Experience with building Data lakes, Data warehouses, and ETL solutions
  
• Understanding of data structures, data modeling, and software architecture
  
• Analytic and problem solving skills
  

Nice to have:

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• Expertise with Snowflake and xqbhyrx related technologies (e.g. dbt)
  
• Ability to write robust code with Scala
  
• Proficiency with public clouds (AWS, GCP, Azure)
  

We offer:

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• Competitive compensation
  
• Fully remote work
  
• Flexible working hours
  
• Continuous education, mentoring, and professional development programs
  
• A team with an excellent tech expertise