L3 Data Management Jobs

Description

Our team and what we’ll accomplish together

As a Data Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior.

Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects. We have flexible work styles with the ability to work in and out of the office. You will work in a team that actively supports your personal development with progressive training and development tools.

This is a remote role with occasional visits to the office.

Roles & Responsibilities:

• Research, construct, develop, and test complex ETL pipeline
• Perform application impact assessments, requirements reviews and develop work estimates
• Drive and maintain a culture of quality, innovation and experimentation
• Being action-oriented, ensuring accountability, driving results, being collaborative and communicating effectively, will be essential
• Interface with data scientists, analysts, product managers and all data stakeholders to understand their needs and promote best practices
• Develop and maintain scalable data infrastructure that provides an outstanding experience for internal stakeholders and enables consistent value extraction from data
• Perform technical data stewardship tasks including metadata management, security and privacy by design
• Develop test strategies and site reliability engineering measures for data products & solutions
• Lead resolution of critical operations issues including post-implementation reviews
• Build and scale data infrastructure that powers batch and real-time data processing of thousands of records daily
• Apply automation and monitoring tools using a test-driven approach and mindset
• Innovate data ingestion and processing methods to support strategic priorities and facilitate decision-making throughout the organization
• Architect data pipelines that provide fast, optimized, and robust end-to-end solutions
• Design and build data extraction, loading and transformation pipelines and data products across on-prem and cloud platforms
• You will demonstrate sound engineering principles and a good understanding of modern CI/CD toolsets

Qualifications

• Proficiency in:
• Data Modeling
• Quality Assurance & Site Reliability Engineering
• Working Knowledge of ML Ops
• You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
• 4 years data platform solution architecture and design
• Unix scripting
• Task automation - setting up DAGS in Control-M, Apache Airflow, Prefect, etc
• Programming language experience (java/python - including low code tools such as Informatica, Datastage or equivalent)
• SQL and database proficiency (min 3 years)
• Infrastructure as code (e.g. Terraform, Pulumi, Puppet, Ansible)
• 6+ years Data Engineering experience

Education and Professional Designation / Certification

• GCP certification
• Bachelor's Degree in Software Engineering, Computer Science or related field
• Analytics - BI or AI/ML
• Data engineering certification