Data Engineer (Cloud)

Posted 4 weeks ago

StackPros Inc is seeking a candidate for a full-time role within our Data Systems Team in Toronto, Ontario.

The Cloud Data Engineer will play a key role at StackPros, required to help create and maintain industry-leading quality and efficiency of service and software delivery.

StackPros 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 StackPros’ quality standards, while helping the organization rapidly expand complex Machine Learning and related applications.

Key Responsibilities:

Data Engineering-Specific 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 re-useable 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

Data Science-Specific Responsibilities

  • Perform exploratory data analysis to identify patterns from historical data, generate and test hypotheses, and provide product owners with actionable insights
  • Design experiments for product initiatives and perform statistical analysis of the results with recommendations for next steps and future experiments
  • Create and design dashboards by using different data visualization tools to present reports and insights, and support business decision making
  • Help the DRVN Intelligence Data Systems team adopt and evolve Predictive Modeling, Machine Learning and Deep Learning processes to deliver to clients in the future

Qualifications:

  • 3+ 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.)
  • 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

Company-Wide Responsibilities:

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

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