Data Engineer
We are seeking a Data Engineer for an ongoing Life Science project to be engaged in building data pipelines and leveraging cloud technologies.
Location:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
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
- Ability to write robust code with Scala
- 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
We offer:
- Competitive compensation
- Fully remote work
- Flexible working hours
- Continuous education, mentoring, and professional development programs
- A team with an excellent tech expertise
If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to career@quantori.com. We will try to find something special and interesting for you!