Key responsibilities :
Implementing new or modified functionality on the data platform and building data pipelines on this data platform
Working with other data engineers, a functional analyst, solution architect, technical architect, and QA engineer. Together, they form an agile team.
Relying on your technical knowledge and skills in Confluent Data Platform, Python, Airflow, NIFI, etc., to build functionality and data pipelines.
Programming and delivering working code
Consulting with colleagues
Validating solutions and reviewing colleagues' code, following up on operational issues
Writing documentation
Evaluating and estimating user stories.
Expected skills and experience :
Must have
Knowledge of DBT
Knowledge of Python
Knowledge of Airflow (or a similar orchestration tool)
Knowledge of an API builder (FastAPI, Flask, ...)
Is a plus
Knowledge of Spark and PySpark
Knowledge of Cloudera Data Platform (installed on-premise)
Knowledge of Spark Streaming
Knowledge of Kafka and Kafka streams
Knowledge of JDK languages (Java, Scala, Groovy, ...)
Knowledge of JavaScript (Angular, d3, ...)
Knowledge of event processing and JSON
Knowledge of Apache AVRO & Parquet, Apache Iceberg and Apache Impala
Knowledge of Vault Speed
Knowledge of SingleStore
Languages :
Dutch - Fluent - Must have
English - Professional - Must have