Data Engineer

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: - 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: - 5+ 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 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 - Flexible working hours - Continuous education, mentoring, and professional development programs - A team with an excellent tech expertise