Data Engineer (w French)
Data Engineer Cyber-security & Fraud Detection | Hybrid
Role Overview
We are looking for an experienced Data Engineer to join the ISR/RBS team within the Retail Banking Security (RBS) department. The selected candidate will be responsible for developing and maintaining the data infrastructure that supports our cybersecurity application for e
Fraud detection. This role requires expertise in Big Data technologies, data pipeline development, and production monitoring to anticipate and prevent
- related incidents.
Key Responsibilities
- Big Data Development & Deployment:
- Develop and execute Big Data projects to support e
Fraud detection business needs. - Perform end-to-end testing, define test scenarios, and document defects.
- Manage production deployments and ensure seamless rollouts.
- Develop and execute Big Data projects to support e
- Data Pipeline & Infrastructure Management:
- Design, develop, and maintain data pipelines for ETL processes across multiple data sources.
- Maintain and optimize databases, data warehouses, and data lakes.
- Ensure data integrity, governance, and compliance with internal standards.
- Incident Prevention & Monitoring:
- Monitor and maintain fraud detection microservices hosted in the Big Data environment.
- Investigate production incidents and coordinate resolutions with key stakeholders.
- Implement automated monitoring and alerting mechanisms to enhance security.
- Optimization & Security Improvements:
- Develop a strategy to reduce technical debt and optimize infrastructure performance.
- Improve data security measures and ensure decommissioning of unused resources.
- Maintain up-to-date documentation for all data engineering processes.
Required Skills & Experience
- Minimum 3 years of experience in data engineering, development, and production monitoring.
- Strong technical expertise in:
- Scala, Spark, Hadoop, Cloudera.
- CI/CD tools and processes.
- Jira, Elastic
Search for project management and search analytics.
- Nice-to-Have Skills:
- Experience with HDFS, HBase, Control-M, Yarn, Kafka.
- Languages:
- English Advanced (mandatory).
- French Intermediate (preferred).
- Soft Skills:
- Ability to work autonomously and proactively propose solutions.
- Strong problem-solving skills and attention to detail.
- Commitment to planning, reporting, and execution of assigned tasks.
Why Join?
- Work in a critical cybersecurity environment, contributing to fraud detection and prevention.
- Engage with
- edge Big Data technologies in a
- paced banking security division. - Be part of a collaborative, innovative team focused on enhancing data security.
- Hybrid work model offering flexibility.
If you are a Data Engineer with expertise in Big Data, fraud detection, and cybersecurity, wed love to hear from you!
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