Data Engineer / Data Analyst confirmé à expert (F/H)
Core
Design, develop, and industrialize batch and real-time data pipelines; analyze financial risk data to produce reliable indicators and reports.
Role type
Senior to Expert Data Engineer / Data Analyst
Builds
Cloud data platforms, Big Data processing architectures, and financial risk analysis tools
Domain
Finance, Banking, Insurance, Cloud Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Data Modeling, Data Transformation, JSON, Git, Data Quality Control, Business Requirements Analysis
Preferred skills
Spark, PySpark, Kafka, AWS, Scala, Hadoop, Airflow, Terraform, Docker, Kubernetes, Dataiku, Pandas, Jupyter Notebook
Technologies
AWS, Spark, Kafka, PySpark, Scala, Hadoop, Airflow, Terraform, Docker, Kubernetes, MongoDB, Azure, GCP, Datadog, Prometheus, Grafana, Dataiku, Jupyter Notebook
Responsibilities
Design and optimize batch and real-time data processing architectures; Analyze financial risk data to define business rules and calculate indicators; Ensure data quality, traceability, and governance; Collaborate with cross-functional teams to deliver data solutions; Document technical architectures and operational procedures; Investigate data anomalies and implement corrective actions.
Seniority
Senior to Expert
