Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
Define, develop, manage & sustain core components of the data platform, such as:
-
Multi-tenant data collection and storage
-
Multi-tenant streaming and data processing
-
Shared data model, including NoSQL modeling
-
Data management and security components
-
Multi-tenant and customizable analytical dashboards
-
Develop IT solutions with partners (startups, IT companies, other industrial companies, suppliers, universities, research institutes) to package Software as a Service (SaaS) offering along a technical team of Data/DevOps engineers.
-
Lead the design and architecture deployment of next-generation data solutions within a lean startup pathway, collaborating with data engineers, DevOps, engineering & mobility experts, data scientists, software engineers & HMI designers.
-
Understand customer needs and provide an architecture design to meet these requirements.
-
Own the overall technical vision of the solution regarding scalability, security, performance, reliability, and recovery.
-
Build multi-tenant streaming and data processing capabilities in batch and near-real-time flows.
-
Evaluate the opportunities from emerging technologies.
-
Apply strong testing and quality assurance practices.
Competencies & Skills:
-
Extensive knowledge of data modeling, analytics, and software architecture (preferably Java and Python).
-
Proven experience in designing and developing scalable solutions with data processing engines for production environments (e.g., Apache Spark).
-
Experience in various data management platforms and cloud technologies (e.g., Apache NIFI, Kubernetes, Docker, Elasticsearch).
-
Experience in designing databases MySQL, PostgreSQL, Cassandra, MongoDB and eliminating performance bottlenecks.
-
Knowledge of cloud technologies (Azure, AWS, GCP), msfabric, lakehouse, deltalake
-
Knowledge of data science/machine learning or experience designing data pipelines for ML models.
-
Knowledge of network and security: SSL, certificates, IPSEC, Active Directory, LDAP.
-
Experience using data governance tools: Collibra, Apache Atlas.
-
Knowledge of the Elastic/ELK stack.
-
Knowledge about Machine Learning with scikit-learn, R, Tensorflow, or another AI framework or toolkit.
-
Proven experience in deploying and maintaining solutions on cloud and/or on-premise environments.
-
Proven experience in providing technical guidance to teams.
-
Proven experience in managing customer expectations.
-
Proven track record of driving decisions collaboratively, resolving conflicts, and ensuring follow-through.
-
Extensive knowledge of data processing and software development, in Python or Java/Scala environment.
-
Proven experience in designing stable solutions, testing, and debugging.
-
Demonstrated technical guidance with worldwide teams.
-
Demonstrated teamwork and collaboration in a professional setting.
-
Proven capabilities with worldwide teams.
-
Proficient in English; proficiency in French is a plus.
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Experience: 10 to 12 Years
Bachelor's or Master's degree in Computer Science, Engineering
