Data Engineer - Toronto

Only for registered members Toronto, Canada

23 hours ago

$80,000 - $125,000 (CAD) per year *

* This salary range is an estimation made by beBee

The GCP Data Engineer (Google Cloud Platform) 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 Dat ...

Job description

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:

This position is for a Cloud Data engineer with a background in Python, DBT, SQL and data warehousing for enterprise level systems.
Participate in the continuous delivery pipeline to fully automate the deployment of the highly available cloud platform that supports multiple projects
Design, develop, and deploy Python scripts and ETL processes in ADF environment to process and analyze varying volumes of data.
Experience of DWH, Data Integration, Cloud, Design and Data Modelling.
Proficient in developing programs in Python and SQL
Experience with Data warehouse Dimensional data modeling.
Perform end to end Data Validation to maintain the accuracy of data sets
Knowledge of deployment of packages and code migrations to stage and prod environments via CI/CD pipelines.
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), strong preference to GCP
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
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 else you need to know:

Candidate must be a permanent Canadian resident
Flexible Remote Working Policy (within Canada)

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