GCP Data Engineer (Part-time)

Stacktics; Toronto; Hybrid; CAD 80,000 - 100,000; Part time

Job summary

Stacktics seeks a GCP Data Engineer to design, create, and maintain industry-leading Cloud Infrastructure and Data Analytics solutions. The role involves developing Python scripts, managing ETL processes, and ensuring data accuracy while collaborating with a dynamic team committed to excellence and rapid expansion of Machine Learning applications.

Qualifications

• 4+ years experience in Data Engineering.
• Excellent written & verbal communication skills are essential.
• Candidate must exhibit an analytical, detail-oriented approach to problem solving.

Responsibilities

• Design, develop, and deploy python scripts and ETL processes for data processing.
• Participate in continuous delivery to automate the deployment of cloud platform.
• Maintain and exceed client satisfaction with deliverables.

Skills

Python

SQL

Data Warehousing

Data Validation

Data Integration

Big Data Technologies

Analytical Skills

Communication Skills

Tools

Jira

Airflow

Job description

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.

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.
• 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.
• 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.

Compensation :

• Part-time / hourly rate.
• Rate is commensurate with experience.
• Rate band is $28.00-$38.50 per hour.

What else you need to know :

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