Participate in the analysis design, development, and delivery of efficient, effective, and secure data pipelines with your team.
Participate in the implementation of industry best practices.
Be an agent of change who will grow the data engineering practice to make the lab an industry benchmark.
Requirements
Bachelor’s degree in computer science, Software Engineering or any equivalent combination of training and experience.
6+ years experience in Software Engineering / Data Engineering / ETL development / Data Warehousing.
Understanding of software design pattern, OOP and SOLID principles.
Strong proficiency in the Python programming language and the PySpark Framework.
Basic understanding of machine learning and artificial intelligence is a nice to have.
For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
No Canadian work experience required however must be eligible to work in Canada.
Benefits
A financial rewards program that recognizes your success
An industry leading Employee Share Purchase Plan; we match 50% of net shares purchased
An extensive flex pension and benefits package, with access to virtual healthcare
Flexible work arrangements
Possibility to purchase up to 5 extra days off per year
An annual wellness account that promotes an active and healthy lifestyle
Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues
A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs
Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunities
Inspiring leaders and colleagues who will lift you up and help you grow
A Community Impact program, because what you care about is a part of what makes you different.
Salesforce Data Engineer serving as a subject matter expert in the State of Tennessee. Designing scalable data pipelines and collaborating on cross - agency initiatives.
Data Engineer Senior responsible for building data architecture and optimizing pipelines for Business Intelligence. Collaborating with analysts to develop insights using Power BI and Azure technologies.
Principal Data Engineer driving modernization from legacy systems to cloud - native platforms at Mastercard. Architecting and developing ETL platforms with AI integration and establishing data - driven strategies.
Principal Data Engineer modernizing cloud - native platforms for AI - powered solutions at Mastercard. Leading teams to enhance data processing efficiency and reliability across global operations.
Data Engineer creating data pipelines for Santander's card transactions. Collaborating with an agile team in strategic projects involving Databricks and PySpark.
Data Engineer designing, implementing, and maintaining data pipelines at Sabiá Gaming. Focused on high - quality data access and integration for enhanced decision - making.
Quantitative Data Engineer developing data solutions and automations for MassMutual's investment management. Working with data orchestration tools within a collaborative team environment.
Senior Data Engineer designing and scaling data infrastructure for analytics, machine learning, and business intelligence in a software supply chain security company.
Data Engineer developing architecture and pipelines for data analytics at NinjaTrader. Empowering analysts and improving business workflows through data - driven solutions.