Big Data Engineer Python

Il y a 2 heures

Arrondissement of BrusselsCapital, Brussels, Belgique Europe Temps plein
h3Big Data Engineer /h3pThis role focuses on developing, integrating, and optimising large-scale data flows. It involves close collaboration with data scientists to translate analytical models into practical technical solutions, requiring hands-on expertise in data cleansing, pipeline design, component orchestration, and modern data technologies such as Hadoop, Spark, and API development. /ph3Mission Responsibilities /h3ulliTechnical Collaboration: work closely with data scientists to develop effective technical solutions /liliData Optimisation: perform data cleansing, preparation, and integration /liliPipeline Engineering: design and build robust data pipelines /liliSystem Integration: manage component orchestration /liliLarge-Scale Data Processing: responsible for batch Spark ETL, including data wrangling, joining, and aggregation /li /ulh3Technical Competencies /h3ulliAI Ecosystems Frameworks, including:ulliModern Data Stack (MDS) /liliOn-premises Data Lake technologies (Hadoop, Spark, Hive) /liliLarge-scale data processing (Spark) /liliOrchestration tools (Apache Airflow) /liliContainerisation (Docker / Kubernetes) /liliPython programming /li /ul /liliArchitecture Integrations:ulliAPI development /liliCloud architectures (AWS, Azure) /li /ul /li /ulpExperience with real-time architectures and event streaming infrastructure is advantageous. /ph3Behavioural Competencies /h3ulliCollaboration: able to work closely and effectively with data scientists to translate complex analytical needs into functional technical solutions /liliAnalytical Organised: precise and methodical approach to data cleansing, preparation, integration, and pipeline design /liliProblem Solving: quick and efficient in addressing bottlenecks in data processing or orchestration errors /li /ulpWe require full-time availability (100%), although 80% availability will be considered. /p