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Data Engineer

Location: Toronto, Ontario, Canada
Job ID: 743999759656494HS
Date Posted: Jul 6, 2021
Segment: IT
Business Unit: Hitachi Solutions
Company Name: Hitachi Solutions Ltd
Job Schedule: Full-time

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Company Description

Hitachi Solutions is a core IT Company of the Hitachi Group, which employs over 330,000 people worldwide. Headquartered in Tokyo, Japan, Hitachi Solutions' reach extends to group companies in Japan and abroad, working with a worldwide network of alliance partners. Through systems integration, we strive to provide ideal solutions and products to customers in a diverse set of countries and regions including Asia, North America and Europe. Using a portfolio of management consulting, implementation, and support services, we help our clients compete with the largest global enterprises leveraging powerful, affordable, and easy to use industry solutions built on Microsoft technologies. Our purpose is to help you achieve your vision through superior products, prices, and people.

Job Description

Data Engineers are responsible for delivering high-quality modern Azure data solutions through collaboration with our team and our customers. Projects may range from short-term client assessments to multiyear delivery engagements with large, blended teams.

Requirements:
  • Hands-on experience working in Business Intelligence, Data Engineering or Data Science
  • Azure skills highly preferred, including provisioning, configuring, and developing solutions using Azure DevOps Pipelines, ADLS, ADF, Synapse, Databricks etc.
  • Excellent communication, presentation, influencing, and reasoning skills
  • The ability to quickly propose Azure data platform solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications
  • In-depth understanding of database structure principles
  • Robust data modelling & analytics skills
  • Highly self‐motivated, self‐directed, and attentive to detail
  • Familiarity with modern semantic layer and reporting tools, e.g., SSAS Tabular, Power BI etc.

We would like to see a blend of the following technical skills:
  • Azure DevOps Pipelines
  • Azure SQL Data Warehouse or Azure Synapse
  • Databricks or Apache Spark
  • Azure Data Factory
  • Azure Data Lake Generation 2
  • Power BI or SSAS Tabular
  • Data modelling using the Kimball methodology
  • Database migration

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