Data Engineer (GCP)

Stacktics Inc.; Toronto; On-site; CAD 90,000 - 115,000; Full time

Job summary

A tech-focused company in Toronto is seeking an experienced GCP Data Engineer to design and maintain cloud infrastructure for data analytics. The ideal candidate has over 4 years of experience in Data Engineering, strong skills in Python, DBT, and SQL, and familiarity with cloud technologies. This role offers a flexible remote working policy within Canada.

Qualifications

• 4+ years experience in Data Engineering.
• Understanding of digital ecosystems and analytics tools.
• Excellent written and verbal communication skills.

Responsibilities

• Design, develop, and deploy Python scripts and ETL processes.
• Participate in continuous delivery pipeline automation.
• Perform end-to-end Data Validation to ensure accuracy.

Skills

Python

DBT

SQL

Data warehousing

ETL processes

Data modeling

Airflow

Big Data technologies

Tools

Azure

AWS

GCP

Job description

Overview

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 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.

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)