The Data Engineer(Cloud) will play a key role at Stacktics where we design, create, deploy, maintain and grow industry-leading Cloud Infrastructure, Big Data Analytics and Cloud For Marketing products, solutions and services.

Stacktics will rely on the Data Engineer to support the Data Systems team, in both data engineering and data science-related workflows. The Data Engineer will be expected to meet and exceed Stacktics' quality standards, while helping the organization rapidly expand complex Machine Learning and related applications.

Key Responsibilities:

Participate in continuous delivery pipeline to fully automate deployment of the highly available cloud platform that supports multiple projects
Design and develop ETL workflows and datasets to be used in data visualization tools
Write complex SQL queries with multiple joins to automate and manipulate data extracts
Perform end to end Data Validation to maintain accuracy of data sets
Build tools for deployment, monitoring and operations
Troubleshoot and resolve issues in the development, test and production environments
Develop reusable processes that can be leveraged and standardized for multiple instances
Prepare technical specifications and documentation for projects
Stay up-to-date on relevant technologies, plug into user groups, understand trends and opportunities to ensure we are using the best possible techniques and tools
Understand, implement, and automate security controls, governance processes, and compliance validation
Design, manage, and maintain tools to automate operational processes
Experience in working with Orchestration tools like Airflow
Experience in working in one of the public clouds (GCP, AWS, Azure)
Experience in working with Big Data technologies like Spark, Beam, etc

Company-Wide Responsibilities:

Maintain and exceed client satisfaction with Stacktics’ deliverables, day-to-day work and overall value as a partner
Cultivate opportunities for company growth, always seek areas where Stacktics’ role could be expanded
Adapt to ever-changing client needs and expectations
Maintain dedication toward achieving excellence in Stacktics’ delivery against client needs, and overall success as an organization
Be an enthusiastic, positive and generally awesome team mate, mentor & constantly curious learner

Qualifications:

4+ years experience in Data Engineering
Understanding of digital ecosystems including online data collection, cloud systems and analytics tools (Google Stack, Facebook, AWS, Salesforce, Adobe Suite etc.) a strong asset
Strong technical understanding of a range of marketing concepts such as cookie-based data collection, setting and leveraging audience segments, attribution modelling, AB/N & multivariate
Excellent written & verbal communication skills are essential; candidate should be comfortable presenting and participating in group discussions of concepts with internal and external stakeholders
Candidate must exhibit an analytical, detail-oriented approach to problem solving
Experience with Jira / Atlassian project management tools is an asset

WHAT’S IN IT FOR YOU?

Flexible Remote Working Policy (within Canada)
100% employer-paid benefits package
Regular Lunch and Learns from your Team Mates
Standing desks
Entertainment and Games area
Fully-loaded kitchen: snacks/fruit/drinks
Fun Employee Events and Activities
Participation in Community Engagement
Quarterly CEO coffee breaks

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Data Engineer (Cloud)