Data Engineer (Cloud)

at  Stacktics

Toronto
Work Type: Full Time
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

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

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

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, et