Capco

Data Engineer (Azure) (Hybrid - Toronto)

Toronto, Ontario Canada
Terraform Azure Machine Learning Spark Python Scala SQL
Description

Capco – The Future. Now.

Capco is a distinctly and positively different place to work. Much more than consultants, we are active participants in the global financial services industry. Our passionate business and technology professionals enjoy a unique environment where they are actively encouraged to apply intellect, innovation, experience and teamwork. We ware dedicated to fully supporting our world class clients as they respond to challenges and opportunities in: Banking & Payments, Capital Markets, Insurance, Wealth & Asset Management and Energy. Experience Capco for yourself at capco.com.

Let’s Talk About You

You want to Own Your Career. You’re serious about rising as far and as fast as your work and achievements can take you. And you’re ready to write the next chapter of your career story: a challenging and rewarding role.

Let’s Get Down to Business

Capco is looking for talented, innovative and creative people to join our incredible and growing Team focused on our financial services clients. We are looking for experienced talent exceptional domain expertise who can work directly with our clients on mission-critical projects.

Key Responsibilities:

  • Design and develop data integration pipelines using Azure Data Factory
  • Implement ETL/ELT processes to ingest, transform, and load data from various sources
  • Leverage Azure Databricks for advanced data processing, machine learning, and analytics
  • Optimize data pipelines for performance, reliability, and scalability
  • Collaborate with data engineers, BI analysts, and business stakeholders
  • Troubleshoot and resolve issues in data integration workflows
  • Participate in the development of data governance and security frameworks
  • Document data lineage, metadata, and pipeline architectures

Required Qualifications:

  • 3+ years of experience as an Azure Developer
  • Proficient in Azure Data Factory development, including activities, triggers, and pipelines
  • Hands-on experience with Azure Databricks, including creating notebooks, writing Spark code, and managing clusters
  • Strong skills in data transformation, data quality, and data modeling
  • Adept at programming in languages like Python, Scala, or SQL

Preferred Qualifications:

    • Familiarity with CI/CD and infrastructure-as-code (Terraform, ARM templates)
    • Certifications in Microsoft Azure, Data Engineering, or related domains

Professional experience is important. But it’s paramount you share our belief in disruptive innovation that puts clients ahead in a tough market. From day one, your key mission will be to perceive new and better ways of doing things to give your clients an advantage.

Now Take the Next Step

We have:

  • Access to industry-focused talent globally
  • Ability to leverage best-in-class innovative products and solutions for complex architecture and large-scale transformation
  • Extended global geographic market reach
  • Ability to capitalize on our client footprint and deep domain expertise within financial services and energy

Capco is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics.

For more information about Capco, visit www.Capco.com.

Capco
Capco
Consulting Finance Financial Services Insurance

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