AddressEviden is an Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 55,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.
Role : Data Engineer
Location : Remote, Montreal, Canada , Hybrid is great, however, remote is okay too
Hire Type : Full-Time with Eviden
Salary Range - CAD 110K - 120K
Responsibilities
● Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions
● Coordinate with multiple development teams to achieve delivery objectives
● Provide support in requirements definition, estimation, development and delivery of robust and
scalable solutions
● Development and support of real-time data ingestion processes from various data sources
● Development and support of data models optimized for business intelligence usage
● Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP
and others
● Adhering to industry standards and laws such as GDPR and SOX
● Be a leader in best-practices definition and creative thinking
Qualifications
● Master Degree in Computer science, Business Intelligence or equivalent
● 5+ years of practical data modeling, ETL / ELT design and development
● Solid and demonstrated experience with::
○ Data warehouses such as Azure Synapse or Snowflake
○ Developing advanced ETL / ELT / Data pipelines in Talend or Azure Data Factory
○ Using machine learning or AI algorithms written in Python
○ Defining cubes in Azure Analysis Services
○ Developing clean and maintainable code in a CI-CD Environment
○ Developing complex SQL queries - Fluent in writing, executing and optimizing complex
SQL queries
● Understands and puts into practice data modeling, design and development of solid ETL/ELT
data pipelines
● Experience implementing API Service architectures ( REST) and development by using Apigee
Edge, node.js or Azure functions
● Experience in using cloud BI technologies tools such as PowerBI
● Experience in translating business requirements into advanced data models able to fulfill analysts
and data scientists requirements
● Experience in data profiling
● Experience in working within an agile team to build big data / analytics solutions
● Strong interpersonal relations, motivated and loves to work on multiple challenging projects
● Open-minded and able to adapt to new ways of working (data vault, event-driven architecture,
unstructured data, self-service analytics, etc..)
● Well organized and able to self-prioritize, sometimes with conflictual deadlines
● Strong communication skills, both speaking or writing, in both french and english
● Continuously seeks for improvements and craves to put hands on new technologies
● Experience working within a complex organizational environment is required.
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