Hybrid Cloud & Data Engineer (Junior–Mid)

LGS, une Société IBM / an IBM Company

Montreal (administrative region)

Hybrid

CAD 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Group insurance
Retirement plan
IBM Shares at reduced rate
Parental leave benefits
Wellness allowance
Annual vacation
Company holidays

Job summary

IBM Consulting FutureNow is seeking a Junior to Intermediate Data Engineer – Hybrid Cloud & Data to contribute to modern data solutions. You will work under the supervision of experienced Data Architects and Engineers to design, develop, and support data pipelines enabling analytics and AI.

Responsibilities include collaborating with analytics teams, code reviews, and progressively gaining expertise in modern Data architecture while using tools like Power BI, Microsoft Fabric, and Azure Data

Qualifications

  • Requires a university or college degree in computer science, software engineering, data science, or related field.
  • 1 to 5 years of relevant experience.
  • Knowledge of SQL and basic Python.
  • Understanding of relational database concepts and ETL/ELT concepts.
  • Knowledge of Cloud environments is an asset; Power BI or BI tools an asset.

Responsibilities

  • Participate in design, development, and support of data pipelines for analytics and AI.
  • Collaborate with senior Data Engineers and Architects; participate in code reviews.
  • Develop data processing components and scripts; ensure data quality and integration.

Skills

SQL
Python
ETL/ELT
Cloud

Education

University or college degree in CS or related field

Tools

Power BI
Microsoft Fabric
Azure Data Services

Job description

IBM Consulting FutureNow is seeking a Junior to Intermediate Data Engineer – Hybrid Cloud & Data to contribute to modern data solutions. You will work under the supervision of experienced Data Architects and Engineers to design, develop, and support data pipelines enabling analytics and AI.

Responsibilities include collaborating with analytics teams, code reviews, and progressively gaining expertise in modern Data architecture while using tools like Power BI, Microsoft Fabric, and Azure Data

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