Data Engineering Developer at Vosker

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud-Based Solutions, Data Pipelines, ETL, AWS, Python, SQL, Spark, Terraform, DevOps, Data Security, Monitoring, Agile, Bilingual, Analytical Skills, Problem-Solving

Industry

Software Development

Description

Company Description VOSKER is a North American leader in remote area surveillance. Every day, we’re proud to help our customers keep an eye on what truly matters to them by developing solar-powered, cellular-connected cameras integrated with our exclusive platform. In a few words, at VOSKER: we perform, we think differently, and we take care of our people. We leverage our expertise to win as a team and redefine what’s possible! WHAT WE OFFER A work environment where your ideas come to life and your ambitions take flight A dynamic, non-routine daily life every day is different, and that’s what makes it exciting! A hybrid work model: work from home or from one of our offices it’s your choice The opportunity to work remotely from abroad for up to 3 months (90 days) Access to a learning platform to grow your skills on company time A wellness account to reimburse expenses related to your health, passions, and interests Free 24/7 access to online healthcare professionals and an Employee Assistance Program (EAP) Comprehensive group insurance including vision and dental, 50% paid by the employer A group RRSP with employer contributions Parental leave top-up for new parents Vacation based on your total years of professional experience Job Description The data engineer is responsible for designing, implementing and managing data pipelines and establishing data models to deliver reliable information to the various business lines of the company. Joining the data engineering team means growing in an environment where autonomy and initiative are valued. Here, you have the freedom to propose ideas, demonstrate resourcefulness, and embrace a results‑oriented approach. Responsabilities: Design, develop, and maintain cloud-based data processing and storage solutions. Design and implement robust data pipelines (ETL/ELT) for ingesting, transforming, enriching, and distributing data from various sources (structured, semi-structured, unstructured). Collaborate with stakeholders (business teams, analysts, data scientists, architects) to understand business needs and translate them into appropriate technical solutions. Participate in defining the cloud data strategy: develop roadmaps, migration plans, gradual adoption of native cloud services, and modernization of existing systems. Ensure data quality, consistency, security, and integrity through controls, automated testing, and continuous monitoring of data flows. Stay up to date on cloud solutions, architecture, Ops practices (Data/ML-Ops), and AWS technologies, as well as their interdependencies. Implement observability and logging practices (logging, monitoring, alerting) for data pipelines and infrastructures. Identify and adopt new tools and techniques to improve performance, automation, and scalability. Document solutions, data flows, and technical decisions to ensure the sustainability and maintainability of implemented solutions. Qualifications Studies in Computer Science, or a related field, or equivalent professional experience. At least three (3) years of experience in data engineering, including designing data pipelines, large-scale data processing, and integrating diverse data sources Experience building and implementing AWS infrastructures Proficiency with pipeline orchestration tools (e.g., Airflow, AWS Step Functions, DBT) and data processing languages (Python, SQL, Spark, etc.) Experience configuring and tuning virtual private clouds Knowledge of best practices in data security, monitoring, and quality (e.g., encryption, restricted access, data lineage) Experience with infrastructure-as-code (Terraform, CloudFormation, or equivalent) and DevOps practices (CI/CD, Git, automation) Strong analytical and problem-solving skills Self-starter with the ability to work independently or as part of a project team Technical curiosity, openness to learning new technologies, and a drive for continuous improvement Ability to work in an agile environment, collaborate with multidisciplinary teams, and adapt to changing priorities Bilingual in English and French (spoken and written) "THE TECHNOLOGY STACK" THAT AWAITS YOU: AWS Databricks Python, SQL Terraform Additional Information EQUAL OPPORTUNITY EMPLOYER At VOSKER, we value the uniqueness of every individual and celebrate the diversity that helps us redefine what’s possible. We foster collaboration in a healthy, inclusive work environment where all voices are heard. If you have specific needs to make the recruitment process more accessible, don’t hesitate to reach out. Now it’s your turn, tell us about yourself and apply today!

Responsibilities

The data engineer is responsible for designing, implementing, and managing data pipelines and establishing data models. They will collaborate with stakeholders to understand business needs and ensure data quality and integrity.