DataOps Engineer

TELUS

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Description

 

We’re the TELUS Knowledge Technique & Enablement workforce, our mission is to drive TELUS to grow to be a world-class knowledge insights pushed group, delivering world-class knowledge analytics capabilities constructed upon unified scalable platforms, superior AI tooling, prime quality knowledge, and a data-product/knowledge platform oriented tradition. Our workforce members are passionate, dynamic, entrepreneurial and extremely engaged, pushed to realize nice outcomes for our clients, our workforce members, our communities and our surroundings.

We imagine in steady significant transformation integrating dynamic change in our skilled lives. Our workforce members are all the time studying, experimenting and making use of tuition worth into every little thing we do.

Be part of our workforce

 

We’re trying to find a proficient candidate to hitch our workforce within the position of DataOps Engineer. Reporting to the Supervisor – Analytics and Enterprise Intelligence Platforms, the profitable candidate can be accountable for implementing and supporting options to allow enterprise product groups to drive worth by realizing Analytics and Machine Studying use instances. This position will assist our evolving DataOps panorama by offering analytics capabilities constructed upon unified scalable platforms, superior AI tooling, improved velocity to market, and automation. This position would require the profitable candidate to design, develop, and assist our evolving technique, knowledge, and analytics instruments in addition to present sturdy path for our Cloud primarily based Analytics and Enterprise Intelligence platforms.

This is How:

 

  • Collaborating with Enterprise and Product groups to allow invaluable Analytics and Machine Studying use instances
  • Implementing DataOps and MLOps processes and automations utilizing the newest instruments to successfully operationalize Analytics and AI workflows
  • Deploying and managing front-ends and APIs to facilitate groups’ infrastructure wants for Knowledge Analytics and Machine Studying
  • Staying updated of latest software program, instruments, and organizations which can be having an influence on the Analytics and Machine Studying panorama
  • Provisioning infrastructure and safe, dependable data-centric companies and functions in GCP for Knowledge & Analytics customers throughout the TELUS enterprise
  • Determine alternatives to make enhancements to the deployment and assist of our DataOps atmosphere demonstrating a DevOps mindset whereas enhancing our reliability and velocity to market

 

 

{Qualifications}

 

You are the lacking piece of the puzzle

 

  • You’re enthusiastic about Agile tradition and DevOps practices
  • Your have a eager curiosity in Knowledge Analytics and Machine Studying, and are conversant in the Machine Studying lifecycle
  • Expertise with the info choices in Google Cloud Platform (e.g. BigQuery, Dataproc, Dataflow, Vertex AI)
  • You may have expertise with front-end growth, back-end growth, or customizing developer portals (e.g. Backstage)
  • You may have expertise in implementing CI/CD processes and integrating supply code model management (e.g. GitHub) with automated workflows
  • You may have palms on expertise in Infrastructure-as-Code (e.g. Terraform, Pulumi) and the Python programming language
  • You’ll be able to talk clearly and successfully in each technical and enterprise issues
  • You’ll be able to pivot between supporting the pressing wants of the enterprise and dealing on strategic initiatives
  • You may have expertise engaged on and supporting giant, advanced technical initiatives that contain a number of stakeholders and enterprise items

 
Nice-to-haves:

 

  • Undergrad in Laptop Science, Engineering, Arithmetic, Science or equal
  • 1+ years of progressive and related work expertise with knowledge/analytics platforms, DevOps, machine studying, and/or Developer Portals (e.g. Backstage)
  • GCP Skilled Certification

 

 

Apply now
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