Sr. Data Engineer

team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making.

By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients.

As a Senior Data Engineer, you’ll be part of a team of smart, highly skilled engineers who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data driven solutions - all powered by our exceptional technology and people.

Our core technologies currently include Python and Snowflake and we continue to adopt the best of breed in cloud-native (Azure), low-latency technologies.

Our team is co-located and agile, with a central hub in Toronto.

Advantages

• Computer Science, Engineering, Information Systems degree (or equivalent combination of skill and experience)
• 5+ years' experience leading complex data architecture projects
• Expertise SQL (required) coding and experience with a broad array of development tools and platforms, experience with Linux / UNIX shell coding, analytics data management tools / languages such as Python (required), Java and Spark
• Expertise in dimensional and relational database design and data models (Snowflake, RedShift, Teradata)
• Experience with various analytical data platforms and technologies
• Experience in data integration design, implementation, and maintenance, data lakes / hubs
• Experience with developing REST APIs and microservices

Responsibilities

• Lead the design, development, and implementation of new and existing data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster
• A key contributor in providing data extraction and management solutions to a diverse team of data analysts and data scientists as they develop best-in-class analytics solutions
• Lead data architecture efforts in support of key analytics innovations that involve multiple internal and / or external (client) stakeholders
• Develop efficient queries to retrieve appropriate datasets from relational databases
• Design, implement and maintain performance of reliable data pipelines and interfaces that feed various analytics applications, both structured and unstructured data
• Create, implement, and maintain data transformation processes
• Work alongside key stakeholders within the team to put data processing solutions into production environment

Qualifications

• Experience with Cloud platforms Azure, AWS, Snowflake
• Experience with CI / CD Git / Bitbucket, JIRA, Bamboo
• Experience with designing and developing serverless applications an asset
• Experience with Databricks, Delta Lake, Spark data pipeline development an asset
• Preferred experience with business intelligence tools such as Sisense, Qliksense, Tableau and MicroStrategy an asset
• Understanding of machine learning an asset
• Desire to independently research work-around solutions to complex problems an asset

Summary

Many retailers feel like they’re drowning in data, but don’t have to. Our data scientists use advanced modeling and artificial intelligence (AI) capabilities to mine shopper data, uncover what drives shoppers’ decisions and identify leading ways to optimize retail strategy.

Our cloud-based Software-as-a-Service (SaaS) solutions put actionable customer insights at the fingertips of marketing and merchandising decision-makers and enable you to share these insights with suppliers.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees.

In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary / gender non-conforming;

Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle.

We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.

ca to ensure their ability to fully participate in the interview process.