Cloud Big Data Applications Support (Hybrid- Montréal)
Cloud Big Data Applications Support (Hybrid- Montréal)
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Job Description
Description
Be a part of a transformational journey with innovative talent and leading edge technologies.
Join our team
Google Cloud technology is an industry leader in empowering millions of organizations and businesses to lead innovate and grow.
If you are interested in working with this leading edge technology while providing best in class technical customer support consider this great opportunity at TELUS.
Youre the missing piece of the puzzle!
Heres the impact youll make and what well accomplish together
As a Big Data Applications Support Specialist within the TELUS Google Cloud team your role will be to provide excellent technical customer service support for Google Cloud Platform products and solutions including Big Data related applications.
Working in a blended call center environment you will provide real time technical assistance over the phone and via online communications based on client requirements as part of a global 24x7 support organization. This role will also work closely with engineers and product managers to improve Google products and help set up their customers for success.
Heres How
- Provide technical and developer support to customers using Google Cloud Platform products solutions and APIs
- Identify and document both product bugs and feature requests and continually working with internal support teams as well as customers to implement effective solutions
- Reproduce customer issues in order to better understand their use cases and to efficiently provide tailored solutions for their environments
- Work closely with various internal support teams to drive case progress and to also improve Google Cloud Platform products at both a granular and higher level
Qualifications
Must have:
- Communication Skills: Strong communication and collaboration skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences
- Advanced knowledge of English is required: Most of the time you will interact in English with external parties (clients suppliers external partners etc.) as part of this positions main responsibilities given its international scope
- Compute Fundamentals: Demonstrates a deep understanding of compute concepts including virtualization containerization operating systems and system administration
- Demonstrate comprehensive and logical troubleshooting methodologies
- Ability to quickly learn explain and put into practice newly complex technologies and subjects
- Resourcefulness and strong research skills
- Significant abilities in reading understanding and writing code samples to replicate customer issues as well as reading and understanding logs and stack traces
- Punctuality aware of professional etiquette standards and 24/7 availability
Additional Skills
Great-to-have
- Proficiency in French speaking and writing is an asset
- Data Analysis: Experience in analyzing data creating data models or using SQL for data manipulation and analysis
- Firm understanding of emerging AI & ML technologies (especially for model analysis training and tuning)
- Experience with PaaS SaaS and IaaS technologies
- Experience in technical support: able to provide high levels of customer-focused quality and service
- Data Visualization: Experience in developing data visualizations and dashboards using tools like Power BI Tableau and Looker is a plus
- Cloud Technologies: Experience with cloud platforms like GCP AWS and Azure including their data analytics services
- Database Technologies: Experience with various database technologies including relational databases (e.g. MySQL PostgreSQL SQL Server Oracle) or non-relational databases
- Experience in deploying and managing distributed systems and clusters (Kubernetes) workflows and familiarity with testing environments
- Reading code in a general purpose coding language (e.g. Java C C Python Shell Go or JavaScript etc)
- Data Warehousing: Experience with data warehousing concepts
- Version Control: Hands-on experience with Git
- Generative AI: Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI Dialogflow Gemini)
- ML Development: Experience with Machine Learning model development and deployment
- AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch Tensorflow Jax Ray etc.) AI accelerators (e.g. TPUs GPUs) model architectures (e.g. encoders decoders transformers) and using machine learning APIs
Preferred Qualifications:
- College diploma in Computer Science or 2 years equivalent knowledge / experience
- Firm understanding of specific programming languages: Java Python Go
- Experience with distributed data stores (HBase Cassandra Riak Amazon DynamoDB etc.) and distributed message brokers (Kafka RabbitMQ ActiveMQ Google Pub/Sub Amazon Kinesis etc.)
- Experience in data analysis engineering or reporting with a strong emphasis on client-facing projects
- Experience with Big Data architectures and technologies (Google Data Fusion CDAP Google Dataprep Trifacta Google BigQuery Google Composer Apache Airflow etc.)
- Experience with any ML library (scikit-learn pytorch tensorflow Spark mllib) or basic understanding of training testing and evaluating ML models
- Support Experience: Familiarity with support methodologies case lifecycles and analytical skills for breaking down issues
Certifications:
- Google Associate Cloud Engineer certification is desired
- Google Machine Learning Engineer certification is desired
Please note : The starting salary for this position is standardized for all new hires ensuring equitable compensation across incoming team members in this role
Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients suppliers candidates external partners etc.); interact in English with internal parties (colleagues internal partners stakeholders etc.); and work with IT tools whose interface is only accessible in English as part of this positions main responsibilities given its international scope.
Employment Type
Full-Time
