Senior Data Engineering Consultant, Google Cloud Platform

Intello Technologies Inc.; Toronto; Hybrid; CAD 104,000 - 154,000; Full time

Job summary

A leading tech company in Toronto seeks a Senior Data Engineering Consultant to design scalable data pipelines and develop machine learning assets on Google Cloud. Ideal candidates will have 6+ years in data analytics, strong coding skills, and experience in ETL processes. This role offers competitive salary and benefits, including a performance bonus and flexible work options, fostering a culture of innovation and teamwork.

Benefits

Comprehensive rewards package

3 weeks minimum vacation

Generous pension plan

Career growth opportunities

Flexible work options

Qualifications

• 6+ years of experience in big data analytics and distributed systems.
• 4+ years data platform solution architecture and design.
• Strong coding and development skills in programming languages.
• Experience implementing production level deployments on Google Cloud Platform.

Responsibilities

• Design and build scalable data pipelines in Google Cloud Platform.
• Build data assets for machine learning.
• Automate and optimize internal processes.
• Provide data analysis and reporting support.

Skills

Big data analytics

Distributed systems

Machine Learning

Data pipeline optimization

Python

SQL

Education

Bachelor's Degree in Software Engineering, Computer Science, Business or related field

Tools

Google Cloud Platform

Pandas

ETL Processes

Job description

Description

Join our team and what we will accomplish together

The TELUS Business Solutions (TBS) organization is dynamic, fast-paced, and entrepreneurial. Together, the team is responsible for driving profitable growth within a key growth segment for TELUS: Small & Medium business (SMB).

Our Team – Lifecycle Marketing and Data Science - has a mandate to build solutions for our stakeholders using data to drive business outcomes. We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience. Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.

What you’ll do

As a Senior Data Engineering Consultant in the team, you will be working with Business Stakeholders and the Data Scientists to build data assets that will be leveraged by the data scientists for machine learning/AI models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns. Your solutions will have a direct impact on marketing sales targets and P&L.

• Design and build scalable and resilient Data Pipelines & Analytics solutions in Google Cloud Platform – architect technical solutions to obtain, process, store and provide insights based on processed data and ensuring the quality and availability of data for machine learning models, analytics, and critical business operations.
• Build data assets for machine learning purposes on Google Cloud Platform
• Work on automation and optimization of internal processes
• Provide data analysis and standard reporting support
• Design, develop, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the ETL pipeline
• Keep up to date with the evolving Cloud technology and Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.
• Perform technical data stewardship tasks including metadata management, security and privacy by design

Qualifications

What you bring

• Bachelor's Degree in Software Engineering, Computer Science, Business or related field
• 6+ years of experience in big data analytics and distributed systems
• 4+ years data platform solution architecture and design
• Experience in writing code/ETL processes/Monitoring processes on Google Cloud Platform
• Knowledge of Big Data with a focus on data engineering; optimizing data, pipelines, ETLs
• Experience implementing production level deployments at an enterprise scale on Google Cloud Platform
• Strong coding and development skills in programming languages (e.g. Python, PySpark etc.)
• Strong understanding of data structures, databases, data lakes, and data ingestion and transformation routines
• Advanced experience with Python and mastery of data manipulation libraries (like Pandas), paired with strong SQL skills for complex querying and data analysis.

Great-to-have

• Design, develop, and deploy end-to-end AI/ML models using GCP services
• Experience in MLOps, supporting the data infrastructure required for machine learning workflows.
• Machine Learning and AI models, including classification, clustering, time series analysis, NLP, optimization, and deep learning experience or knowledge
• Post graduate education in Data, Advanced Analytics, Computer Science Engg/Programming or any other relevant program
• Certification on Google cloud or any other cloud platform
• Telecom industry experience

Salary Range: $104,000-$154,000

Performance Bonus or Sales Incentive Plan: 15%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. We encourage all qualified candidates to apply, even if the posted salary range doesn’t match your expectations. We’re open to discussing competitive compensation packages tailored to your experience level and expertise. TELUS offers rewarding benefits, which may vary per job function, such as:

• Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
• Flexibility to work in-office, virtually or a combination of both
• Generous company matched pension and share purchase programs
• Opportunity to give back to communities in which we work, live and serve
• Career growth and learning & development opportunities to develop your skills
• And much more …

Job Type: This is for a current vacancy

A bit about us

We’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world.

You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team memberwill be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

Operations

We’re the ones that design, build, repair and maintain the billions of dollars’ worth of the infrastructure that keeps more than 15.2 million Canadians connected.

We are honoured to be recognized

1.4M days volunteered in our communities.

70% of team members work at home or are mobile.

15.2 million customers that TELUS is serving across Canada.

Accessibility

TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

We offer accommodation for applicants with disabilities, as required, during the recruitment process.