Senior Big Data Engineer in Constanţa

ETL (advanced) SQL (advanced) Spark (advanced) Scala (advanced) Who are we? Human Data Science company that accelerates innovation for healthier worldGlobal organization operating in over 100 countries hiring over 79k specialistsOne of the most admired companies according to FORTUNE magazineConstantly growing Engineering Team with Tech Hub in Warsaw What will you be doing? Designing and developing ETL solutions to process big amount of medical dataEnsuring high quality by creating comprehensive and automated tests Continuously improving our data platform and reducing technical debtSupporting introduction of new tools and migration to Azure cloudProviding technical guidance to less experienced team membersContributing to standards definition and promoting best practices What is required to get the job done? 6+ years of experience in data engineering, ETL design and implementation Experience with batch processing (3+ years)Experience in data analysis, profiling, integration and reporting (2+ years)Excellent knowledge about SQL and Scala (4+ years)Experience with Apache Spark, Kafka, Flink and HDFS Being a great team player How to stand out from the crowd? Present extensive knowledge about database design and modelingDemonstrate commercial experience with Databricks and Azure cloudShow us that you are master in Scala and JavaImpress us with your great analytical and troubleshooting skillsWhat are we building?Data platform to integrate, manage and curate complex medical data setsETL solutions to process data from multiple disparate sources (spanning different countries, languages and compliance requirements)Master data management tool specialized on the governance of electronic medical records (EMR) reference dimensions (diagnosis, posology, laboratory & test values, doctors, products)Privacy Hub that ensures patient data anonymization according to EU regulationsBusiness Intelligence solutions at the top of data we managed What technology are we using? Data Engineering: Cloudera Data Platform, Databricks, Hadoop, Hive, Kudu, Spark, Kafka, Camunda, Scala, JavaWeb application development: Java, C#, Angular, Oracle, Elasticsearch, KafkaTesting: Python, Robot FrameworkCloud: Microsoft AzureContainerization: Docker, Kubernetes