At a Glance
- Tasks: Design and build scalable data solutions in Cloud and On-Premise environments.
- Company: Join a forward-thinking company on Montreal's North Shore with a hybrid work model.
- Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
- Other info: Work in an Agile environment with a focus on innovation and best practices.
- Why this job: Make an impact by shaping enterprise data platforms and collaborating with global teams.
- Qualifications: 5+ years as a Data Engineer with strong AWS and programming skills.
The predicted salary is between 123750 - 151250 $ per year.
My client is looking for a Senior Data Engineer to play a key role in the design and evolution of enterprise data platforms across both Cloud and On-Premise environments.
Mission As a Senior Data Engineer, you will be responsible for building scalable, high-performance data solutions that support critical business initiatives.
Key responsibilities include: Designing and developing modern data architectures across Cloud and On-Premise environments.
Building and maintaining reliable, secure and scalable data pipelines.
Contributing to large-scale data transformation and analytics initiatives.
Establishing best practices in data engineering and platform development.
Developing APIs to collect, process and expose data efficiently.
Supporting automation, testing and deployment processes through CI/CD practices.
Working closely with cross-functional teams within an Agile (Scrum) environment.
Ensuring data quality, performance, governance and security standards are met.
Your profile Degree in Computer Science, Software Engineering, Data Engineering or a related field. 5+ years of experience as a Data Engineer.
Strong hands-on experience developing data solutions on AWS.
Deep knowledge of AWS services related to data storage, processing and analytics.
Solid understanding of data architecture, data modeling, governance and security.
Experience designing and developing APIs.
Strong programming skills in Python, Java or Scala.
Advanced SQL expertise.
Experience with ETL technologies and frameworks.
Solid experience with CI/CD pipelines, automated testing and deployment practices.
Hands-on experience with Big Data technologies such as: Apache Spark Apache Airflow Mongo DB Experience working within Agile/Scrum teams.
Why is French required?
This position operates within an international environment where collaboration with global teams, technical vendors, documentation, and platforms is regularly conducted in French.
Professional proficiency in French is therefore necessary to effectively perform the responsibilities of the role.
Senior Data Engineer – Hybrid in Mirabel employer: Jobboom
Join a leading player in the damage insurance sector that values autonomy, collaboration, and initiative. With a flexible 35-hour work week, comprehensive benefits including collective insurance and professional development opportunities, you will thrive in a dynamic environment that encourages employee participation in organizational growth. Enjoy competitive salaries, free parking, and the necessary equipment to work effectively both in the office and from home.
