Data Engineer

Requirements

Description and Requirements

• Exploring bleeding-edge technologies, tools and frameworks to experiment with and build better products for existing customers.
• Evaluating areas of improvement with technical products built and implementing ideas which will make us better than yesterday.
• Collaborating with developers to work on technical designs and develop code, configurations, and scripts to enhance the development lifecycle and integrate systems.
• Collaborate proactively and respectfully with our team and customers
• Develop tools and integrations to support other developers in building products.
• Take solutions from concept to production by writing code, configurations, and scripts.
• Improve existing platforms or implement new features for any of our products.
• Create comprehensive documentation for implemented solutions, including implementation details and usage instructions.
• Promote our culture of focus, flow, and joy to gain developers' support for our solution
  
  
  

Qualifications

• Build Data pipelines required for optimal extraction, anonymization, and transformation of data from a wide variety of data sources using SQL, NoSQL and AWS ‘big data’ technologies. ○ Streaming ○ Batch
• Work with stakeholders including the Product Owners, Developers and Data scientists to assist with data-related technical issues and support their data infrastructure needs.
• Ensure that data is secure and separated following corporate compliance and data governance policies.
• Take ownership of existing ETL scripts, maintain and rewrite them in modern data transformation tools whenever needed.
• Being an automation advocate for data transformation, cleaning and reporting tools.
• You are proficient in developing software from idea to production
• You can write automated test suites for your preferred language
• You have frontend development experience with frameworks such as React.js/Angular
• You have backend development experience building and integrating with REST APIs and Databases using languages such as Java Spring, JavaScript on Node.js, Flask on Python.
• You have experience with cloud-native technologies, such as Cloud Composer, Dataflow, Dataproc, BigQuery, GKE, Cloud run, Docker, Kubernetes, and Terraform.
• You have used cloud platforms such as Google Cloud/AWS for application hosting.
• You have used and understand CI/CD best practices with tools such as GitHub Actions, GCP Cloud Build.
• You have experience with YAML and JSON for configuration.
• You are up-to-date on the latest trends in AI Technology
  
  
  

Additional Job Description

Great-to-haves

• 4+ years of experience as a data or software engineer
• 4+ years of experience in SQL and Python
• 2+ years of experience with ELT/ETL platforms (Airflow, DBT, Apache Beam, PySpark, Airbyte)
• 2+ years of experience with BI reporting tools (Looker, Metabase, Quicksight, PowerBI, Tableau)
• Extensive knowledge of the Google Cloud Platform, specifically the Google Kubernetes Engine
• Experience with GCP cloud data related services ( Dataflow, GCS, Datastream, Data Fusion, Data Application, BigQuery, Data Flow, Data Proc, Dataplex, PubSub, CloudSQL, BigTable)
• Experience in health industry an asset
• Expertise in Python, Java
• Interest in PaLM, LLM usage and LLMOps
• Familiarity with LangFuse or Backstage plugins or GitHub Actions
• Strong experience with GitHub beyond source control
• Familiarity with monitoring, alerts, and logging solutions
  
  
  

Join us on this exciting journey to make Generative AI accessible to all and create a positive impact with technology.

EEO Statement

At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.