Data Engineer

We're looking for a Data Engineer to join our Center of Competence in Data Analytics & Artificial Intelligence to develop our data platform and build solutions for healthcare usecases. The right candidate will be a technology enthusiast who is passionate about solving real world challenges and is not afraid of digging deep into systems and data to develop solutions.
Responsibilities 
•Responsible for expanding and optimizing our data and data pipeline architecture, working together with the Data Architect and platform responsibles.
•Extract value from data using pre processing techniques (transformation, integration, normalization, feature extraction).
•Ingest data from (distributed) data sets.
•Build applications to automate and optimize data delivery.
Qualification: Bachelors, Masters, or PhD degree in computer science, engineering, statistics or related technical/scientific field
Experience: 3-5 years experience in data engineering, with hands-on on big data platforms, infrastructure and tools. Experience working with global multi-site teams in an agile environment, is preferred.
Knowledge and Capabilities:
•Experience in data storage, data extraction, preparation and exploratory data analysis.
•Hands-on experience and advanced knowledge of SQL, data warehousing, ETL etc. using data frameworks and tools such as Hadoop, MapReduce, Hive, Apache Spark, Scala, Python and dataware house.
•Strong understanding of databases and data storage, using specialized technologies that are optimized for the particular use of the data, such as a relational database, a NoSQL database (MongoDB etc.), Azure Storage etc.
•Hadoop Cluster (execution / monitoring / debugging of Spark jobs in distributed systems). Fine-tuning of Hadoop applications such as Spark.
•Experience in Azure HDInsight’s or Databricks Cluster is preferred.
•Automation and Configuration Management (Azure DevOps CI / CD pipelines (yaml), Azure DevOps Test Management)
•Experience with different file formats (e.g. parquet, avro, ...).
•Cloud based solutions and technologies (Microsoft Azure preferred).
•Strong attention to detail.
•Comfortable working in a fast paced, highly collaborative, dynamic work environment.
•Ability to think creatively and solve problems.