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.
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The team works in the Central European Time.

Responsibilities:

- 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:

- 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:

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

We offer:

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

📌 Data Engineer (Marzán)
🏢 Quantori
📍 Marzán