My client a banking organisation in Belgium is seeking a Junior Data Engineer to join their data agile team. The ideal candidate is a young and passionate data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up by designing, building and optimizing data solutions to support current and next generation of products and data initiatives.
Experience or interest in data flows, data architecture, ETL/ELT development and with processing structured and unstructured data.
Experience or interest in analytics tools and technologies including but not limited to:
- Hadoop, Spark
- Python, Scala, Java, C++
- SQL, NoSQL, MSSQL, MySQL, Postgres and Cassandra.
- Azkaban, Luigi, Airflow
- Pig, Hive, HBase and Kafka.
- Storm, Spark-Streaming.
Experience or interest in cloud services of Azur and/or AWS.
Experience or interest in Linux and Shell scripting.
Experience or interest in DevOps, including automated testing, automated schema migration, and continuous deployment.
Experience or interest in working with conceptual knowledge and maintaining physical and logical data models.
Experience or interest in working with colleagues to identify and clarify requirements.
Experience or interest in data analysis, to identify issues like gaps and inconsistencies and to do root cause analysis.
Experience or interest in designing solutions that are fit for purpose whilst keeping options open for future needs.
Experience or interest in classic and new/emerging business intelligence methodologies.
Experience or interest in statistics, data mining, machine learning and predictive modeling, data visualization and information discovery techniques.
Strong verbal and written communication skills, good interpersonal relationship skills.
Ability to work collaboratively across multiple sets of stakeholders – business SMEs, IT, Data teams, Analytics resources – to deliver on project deliverables and tasks.