Cloud Big Data Application Support - Montreal

TELUS Communications - Montréal, QC (12 months ago)

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Be a part of a transformational journey with innovative talent and leading edge technologies.

Join our team

Google Cloud technology is the future, 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.

Here’s the impact you’ll make and what we’ll accomplish together

We are looking for Big Data - Cloud Support specialists who will 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 the product and make our customers successful.

Here's how

Provide technical and developer support to customers using Cloud Platform products, solutions and APIs
Identify and document product bugs and feature requests and work with internal support teams and customers to implement effective solutions
Ability to reproduce customer issues in order to efficiently provide a holistic fix
Work closely with internal support teams to improve Cloud Platform products at a senior level
Provide assistance and guidance to users through public forums (third party and Google-owned)

You’re the missing piece of the puzzle

Required Knowledge:
Firm understanding of programming (Java, Python). Only one language needed
Demonstrate comprehensive troubleshooting tactics
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
Strong knowledge of SQL (any dialect)
Must have proficient Oral and Written English language and good communication skills

Preferred Qualifications:
Firm understanding of programming (Java, Python, golang) and scripting languages (Python/PHP). All four languages
Experience with distributed data stores (HBase, Cassandra, Riak, Google Bigtable, Amazon Dynamo DB, etc.) and/or distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.)
Familiarity with parallel/distributed computing (NoSQL, MapReduce, Hadoop, Spark, etc.)
Experience with Big Data architectures and technologies (more than 1TB of data) and BI solutions
Experience with distributed computing frameworks (e.g. Hadoop, Spark, Flink, Storm, Samza, Beam, Google Big Query, etc.)
Experience with any ML library (scikit-learn, pytorch, tensorflow, Spark mllib) or basic understanding of ML concepts
Familiar with web protocols (HTTP, TLS/SSL, etc.)
Experience with PaaS, and IaaS technologies
Experience in technical support: familiarity with case prioritization, SLA compliance, and quality
Experience in deploying and managing distributed systems and clusters
Familiarity with modern API technologies (OAuth, HTTP RPCs, REST)