Senior Engineer, Data Engineering

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.Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.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 pipelinesPreparing data for prescriptive and predictive modelingDesigning 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 monitoringWhat 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 skillsNice to have: xqysrnhExpertise with Snowflake and related technologies (e.G. dbt)Ability to write robust code with ScalaProficiency with public clouds (AWS, GCP, Azure)We offer:Competitive compensationFully remote workFlexible working hoursContinuous education, mentoring, and professional development programsA team with an excellent tech expertise

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.Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.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 pipelinesPreparing data for prescriptive and predictive modelingDesigning 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 monitoringWhat 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 skillsNice to have: xqysrnhExpertise with Snowflake and related technologies (e.G. dbt)Ability to write robust code with ScalaProficiency with public clouds (AWS, GCP, Azure)We offer:Competitive compensationFully remote workFlexible working hoursContinuous education, mentoring, and professional development programsA team with an excellent tech expertise