Title: Cloud Analytics Engineer/Architect

Primary Skill: Business Intelligence

Secondary Skill: Looker, Power BI, Tableau

Seniority: Senior

Years: 5+

Emp Type: FTE

Location: Canada-wide Remote

Client position: 245

Description:

Our Client is a recognized and certified Managed Service Provider (MSP) for AWS, Azure, and GCP. They were positioned as a Leader in the 2020 Gartner Magic Quadrant report for Public Cloud Infrastructure Professional and Managed Services. They have more than 1000 customers worldwide and help them gain a competitive edge through the cloud.

Job Description:
* Design, build and implement complex business analytics solutions in the cloud using modern BI platforms/products (Looker, Tableau, Power BI, GCP Data Studio, AWS Quicksight).
* Understanding of cloud data platforms (GCP, AWS or Azure) - databases, data marts, datahubs, data warehouses and data lakes.
* Ability to consult & build end to end analytics solutions using data curation, data governance, data management, semantic layer, reports & dashboards.
* Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements.
* Use an analytical, data-driven approach to drive a deep understanding of fast changing business priorities.
* Design and build a curated BI layer (data prep) with best practices, standards & guidelines.
* Build dashboards, reports, stories, search or semantic frameworks with rich visualization & storytelling capabilities.
* Develop and execute automation frameworks for simplifying day to day analytics needs for business applications (actionable insights).
* Build framework/approach on establishing modern BI platforms for enterprise scale.
* Build CI/CD pipelines/process for code automation/deployments.

Requirements
* B.A. /B.S. Degree is required
* Google Cloud Data Engineer/Looker Certification preferred
* 3+ years of relevant experience in major cloud BI platforms (Power BI, Looker or Tableau).
* 5+ years experience building modern data/analytics solutions.
* Experience and / or exposure to one or more of the following cloud data platform - BigQuery, Snowflake, Synapse
* Experience configuring big data solutions in a cloud environment (AWS, Azure or GCP).
* Experience building modern BI solutions using self-service & cognitive capabilities.
* Data visualization/storytelling experience to build analytics solutions based on requirements.
* Ability to work and collaborate with business partners/users on requirements and demos.
* Ability to build enterprise BI solutions with a solid foundation to scale for ML/AI use cases (Descriptive to Predictive).
* Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or a related field.
* Strong understanding of cloud technology (especially GCP and AWS) with a broad understanding of infrastructure and GCP and AWS Ecosystem technologies
* Understanding and some experience with Professional Services and Consulting engagements

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