Job
Description
About Us :. 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.. Required Skills :. Minimum 6 years of experience in Architectecture, Design and building data extraction, loading, and transformation pipelines and data products across on-prem and cloud platforms.. Perform application impact assessments, requirements reviews, and develop work estimates.. Develop test strategies and site reliability engineering measures for data products and solutions.. Lead agile development "scrums" and solution reviews.. Mentor junior Data Engineering Specialists.. Lead the resolution of critical operations issues, including post-implementation reviews.. Perform technical data stewardship tasks, including metadata management, security, and privacy by design.. Demonstrate expertise in SQL and database proficiency in various data engineering tasks.. Automate complex data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect.. Develop and manage Unix scripts for data engineering tasks.. Intermediate proficiency in infrastructure-as-code tools like Terraform, Puppet, and Ansible to automate infrastructure deployment.. Proficiency in data modeling to support analytics and business intelligence.. Working knowledge of ML Ops to integrate machine learning workflows with data pipelines.. Extensive expertise in GCP technologies, including BigQuery, Cloud SQL, Dataflow, Data Catalog, Cloud. Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion, Dataproc (good to have), and BigTable.. Advanced proficiency in programming languages (Python).. Qualifications:. Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related field.. Analytics certification in BI or AI/ML.. 6+ years of data engineering experience.. 4 years of data platform solution architecture and design experience.. GCP Certified Data Engineer (preferred).. Show more Show less
