Applications Consultant 2 - Data Engineer

Capgemini; Vancouver; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading company in IT services is seeking an Applications Consultant 2 for Data Engineering in Vancouver. This role focuses on designing scalable data pipelines and ETL processes using Microsoft Fabric tools to optimize data workflows while ensuring compliance with data regulations. Ideal candidates will possess strong proficiency in SQL and Python and experience with Azure tools.

Benefits

Flexible work

Healthcare benefits including dental, vision, and mental health programs

Paid time off and holidays

Paid parental leave

Social well-being programs like subsidized childcare

Qualifications

• Proficiency in SQL and Python for data querying and modeling.
• Experience with Azure Data Factory and data transformation processes.
• Knowledge of data security and compliance practices.

Responsibilities

• Design and implement scalable data pipelines.
• Develop ETL processes for data integration from diverse sources.
• Optimize workflows for big data processing.

Skills

SQL

Python

Data Modeling

ETL Development

Data Governance

Tools

Microsoft Fabric

Azure Data Factory

PySpark

Spark SQL

Azure Synapse

Job description

Applications Consultant 2 - Data Engineer

Applications Consultant 2 - Data Engineer

Get AI-powered advice on this job and more exclusive features.

• Design and implement scalable data pipelines using Microsoft Fabric tools such as Azure Data Factory, PySpark notebooks, Spark SQL, and Python.
• Develop ETL processes to extract, transform, and load data from diverse sources into data warehouses or analytical systems within the Microsoft Fabric ecosystem.
• Optimize big data processing workflows to enhance performance and efficiency using Fabric's capabilities.
• Ensure data security and compliance with data privacy regulations throughout the data engineering process.
• Collaborate with stakeholders to gather requirements and create technical solutions using Microsoft Fabric.
  
  

Job Description

• Design and implement scalable data pipelines using Microsoft Fabric tools such as Azure Data Factory, PySpark notebooks, Spark SQL, and Python.
• Develop ETL processes to extract, transform, and load data from diverse sources into data warehouses or analytical systems within the Microsoft Fabric ecosystem.
• Optimize big data processing workflows to enhance performance and efficiency using Fabric's capabilities.
• Ensure data security and compliance with data privacy regulations throughout the data engineering process.
• Collaborate with stakeholders to gather requirements and create technical solutions using Microsoft Fabric.
  
  

Key Skills

• Proficiency in SQL and Python for data modeling and querying within Microsoft Fabric.
• Experience with Microsoft Fabric and its components like Azure Synapse, Data Lake, and Databricks.
• Knowledge of data warehousing and data governance within the Fabric ecosystem.
• Understanding of ETL development and data transformation processes using Fabric tools.
• Familiarity with cloud-based data engineering solutions, particularly Azure
  
  

Life at Capgemini

Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief
  
  

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to

engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.

Job

Business Analyst

Schedule

Full-time

Primary Location

CA-BC-Vancouver

Organization

I&D

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting, Business Consulting and Services, and Outsourcing and Offshoring Consulting

Referrals increase your chances of interviewing at Capgemini by 2x

Get notified about new Data Engineer jobs in Vancouver, British Columbia, Canada.

Data Developer (Data Pipeline and Modeling)

Burnaby, British Columbia, Canada 4 weeks ago

Burnaby, British Columbia, Canada 5 days ago

Software Development Engineer - 2025 (Canada)

Data Developer (Data Pipeline and Modeling)

Burnaby, British Columbia, Canada 4 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.