Full Stack Developer – Data Engineering (Hybrid) / Développeur(euse) Full Stack – Ingénierie des données (hybride)
Core
Design and deliver scalable, secure, and reusable data platforms and services for enterprise data protection and obfuscation initiatives.
Role type
Full Stack Developer – Data Engineering (Associate level)
Builds
Resilient on-prem and multi-cloud database solutions, high-performance ETL/ELT pipelines, AI-driven data classification tools, and full-stack applications.
Domain
Financial Services / Cybersecurity / Data Engineering
Deliverable
production ML models | product features
Required skills
Java/Spring Boot, Python (multithreading/multiprocessing), Angular, RESTful APIs, Microservices, PostgreSQL, DB2, SQL Server, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, Apache Spark, OAuth, Token-based authentication
Preferred skills
AI/LLMs/RAG, Talend, Kafka, Informatica, Data masking techniques
Technologies
Java, Spring Boot, Angular, Python, PostgreSQL, DB2, SQL Server, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, Apache Spark, Kafka, Talend, Informatica
Responsibilities
Design and develop resilient on-prem and multi-cloud database solutions; Develop high-performance solutions for large-scale data and metadata operations; Deliver secure, high-performance database and ETL capabilities; Design and develop full-stack applications with responsive UIs and RESTful APIs; Build self-service capabilities, operational dashboards, and workflow automation; Develop AI-driven solutions to discover, classify, and protect sensitive information.
Seniority
Associate level, hands-on IC