You may not know our name, but you have surely used our innovations and solutions.
Our mission is to unlock the world and make it safer through cutting-edge identity technologies. Every day, around the globe, we are enabling citizens and consumers alike to perform their daily critical activities (such as pay, connect and travel), in the physical as well as digital space. We are transforming their lives by making the world more secure and yet also more streamlined.
We have brought together complementary know-how and technologies that have never been combined before for both the physical and digital era: secured connectivity, secured payments and secured identity management. Cybersecurity, biometrics, large scale distributed systems and Cloud computing, analytics and smart devices are at the core of both our physical products and our software and systems.
We serve our clients in 180 countries thanks to our 15,000 employees worldwide.
Purpose
This role defines and implements the best in class data architecture in line with IDEMIAs Data Strategy (services, tools, etc.).
Key Missions
Works on technical infrastructure data pipelines on a daily basis Ensures their robustness and scalability. Works daily on the whole data lifecycle (collect, design, industrialization, automation) at the heart of our technical infrastructures. Implements a modern data platform architecture and ecosystem including data stores (operational systems, data lakes, data warehouses, data marts), ingress patterns (API, streaming, ETL/ELT) and egress patterns (analytics/decision tools, BI tools) in respect of data security, data governance and of DevOps mindsets. Adapts constantly our architecture and implements such concepts as traceability, transparency, scalability, measurability and security within a demanding project and technology environment. Works with our Product and Business Analytics teams to implement the next generation of our product roadmap features. Transforms data strategy into transversal technical data infrastructure (including Cloud). Lead and supervise all critical data infrastructure roadmap. ¿Who are we looking for?
Experience in:
Python programming language. Tools such as SSIS, SSRS, SSAS (from data management to analysis and visualization as a plus). SQL and PL/SQL language. SPSS, SQL, ETL Processes. Knowledge of technical data architecture, DWH, reporting and/or analysis tools. Reporting automation processes. Strong communication and teamwork skills. Ability to learn quickly and be comfortable asking questions and seeking answers. Ability to effectively prioritize and execute tasks in a high-pressure and ever-changing environment and must be able to manage multiple requests at the same time. Profile & Other Information