Data Engineer confirmé - expert PySpark - Services Financiers - Nantes
Core
Building and maintaining data platforms for retail banking, private banking, and specialized financial services clients, focusing on data ingestion, governance, and transformation.
Role type
Senior Data Engineer (Big Data & Cloud)
Builds
Data platforms, Data Lakes, and data pipelines for financial clients
Domain
Financial Services / Big Data / Cloud
Required skills
PySpark, Cloud data ingestion (batch/streaming), Data Lake structuration, CI/CD pipeline implementation, Data governance, Proof of Concept development
Preferred skills
Scala, Java, Kafka, Hadoop, Hive, Azure HD Insight, Informatica, Talend, Stambia, DataStage, SAS, DataIku, DataBricks, Qlik, SAP BI, Power BI, R
Technologies
Spark, Hadoop, Hive, Kafka, Elastic, Cloudera, Azure HD Insight, Informatica, Talend, Stambia, DataStage, SAS, DataIku, DataBricks, Qlik, SAP BI, Power BI, Java, Scala, Python, R
Responsibilities
Translate business requirements into data engineering solutions; Implement data ingestion solutions in batch and streaming contexts; Structure Data Lakes and establish data governance processes; Process data for business exposure; Set up and supervise CI/CD chains; Conduct technology scouting and develop prototypes/POCs/MVPs
Seniority
Senior, hands-on IC with mentorship responsibilities