Azure Databricks Data Engineer (Microsoft Fabric) - Vancouver

Capgemini; Vancouver; On-site; CAD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to design and implement scalable data pipelines using cutting-edge Microsoft Fabric tools. In this dynamic role, you will develop ETL processes to efficiently extract, transform, and load data from diverse sources, ensuring data security and compliance. You will collaborate closely with stakeholders to gather requirements and create innovative technical solutions that drive business success. This position offers an exciting opportunity to work at the forefront of data engineering within a supportive and inclusive environment that values your well-being and professional growth.

Benefits

Healthcare including dental and vision

Financial well-being programs

Paid time off and holidays

Paid parental leave

Family building benefits

Social well-being benefits

Mentoring and coaching programs

Employee Resource Groups

Disaster Relief

Qualifications

• Proficiency in SQL and Python for data modeling and querying.
• Experience with Microsoft Fabric and its components.
• Knowledge of data warehousing and governance.

Responsibilities

• Design and implement scalable data pipelines using Microsoft Fabric tools.
• Develop ETL processes for data extraction and transformation.
• Collaborate with stakeholders to create technical solutions.

Skills

SQL

Python

Microsoft Fabric

Azure Data Factory

PySpark

Spark SQL

Data Warehousing

ETL Development

Data Governance

Cloud-based Data Engineering

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure Synapse

Data Lake

Databricks

Job description

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:

• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• 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.

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.

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 the US by Capgemini.