Job Description

Job Description:

Ethoca is seeking a Data Engineer to join our team in Toronto to participate in building out solutions on premise and contribute to cloud data enablement and big data solutions within our technology landscape. The role is visible and part of a high performing team – it will appeal to you if you have an effective combination of domain knowledge, experience, and the ability to execute on the details.

You will bring programming/scripting and development skills while working with large data volume. Our teams are small, agile, and focused on the needs of the high growth fintech marketplace, you will participate in this space. You will be working across functional teams within Ethoca and Mastercard to deliver on our data strategies.

We are committed in making our systems resilient and responsive yet easily maintainable on premise and on cloud.

Your Challenge:

Participate in the development of reporting and analytics solution using scripting (SQL/Python scripting), data movement, and scaling existing solutions.

What you Bring:

Experience in the fields of Computer Science/Engineering or Software Engineering, Mathematics, or Quantitative Science
Bachelor's degree in Computer Science, or a related technical field including programming
Capability to debug, optimize code, and automate routine tasks
Understanding of source control
In a Data Warehousing and BI environment with understanding of warehousing concepts
With Source Control System (SCS) is a must – preferably “Git” source control
Systematic problem-solving approach, with effective communication skills and a sense of drive
Strong understanding and working knowledge of Continuous Integration and Continuous Deployment concepts
Proficient in using Microsoft Excel
Excellent written and verbal communication skills
Excellent problem solving and analytical skills
Work efficiently within a high security, PII and PCI-DSS Level 1 environment
Self-starter that explores opportunities for efficiencies and propose options to bridge gaps that exists

What sets you apart:

Some experience with data modeling and data integration
Hands-on experience with database programming (SQL and higher-level programming languages)
Good understanding of data warehousing design patterns and best practices
Solid understanding of data loading and extraction

Nice to Have: