Data Engineer

Electric Mind Inc.; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Electric Mind Inc. is seeking a Data Engineer to design scalable data pipelines and architectures, while guiding data modeling, analytics, and BI implementation. You will collaborate with cross-functional teams to deliver data solutions and explore new technologies in an Agile setting.

Must have strong Snowflake, Python, SQL, and cloud data services experience, with a degree in data science or related field. A growth mindset and client-focused delivery are essential.

Qualifications

• Bachelor’s degree in data-related field or equivalent experience.
• Strong SQL and data modeling skills required.
• Experience with Snowflake and cloud data services preferred.

Responsibilities

• Design scalable data pipelines and architectures for analytics.
• Guide data modeling, analytics, visualization, and BI implementation.
• Estimate tasks, prototype solutions, and collaborate with teams.
• Participate in end-to-end delivery of data consulting projects.
• Explore new technologies and best practices for data solutions.

Skills

Snowflake

Python

Databricks / Apache Spark

Azure Cloud Data Services

AWS Cloud Data Services

Master Data Management

SQL

Data management & BI know-how

Growth mindset

Education

Bachelor’s Degree in Data Science, Business Analytics or Computer Science

Tools

Talend

Apache Airflow

AWS Glue

Azure Data Factory

Job description

As Data Engineer, you will provide hands-on expertise as it relates to data management, analytics, and business intelligence. This opportunity will allow you to utilize your unique blend of technical, software and cloud engineering experience.

Electric Mind, formerly Intelliware, is a business andtechnology consulting leader in providing innovative, practical solutions driven by engineering excellence. We work differently here; you will find continuous opportunities to learn, grow, and share knowledge within your team and the expert communities at Electric Mind all while delivering excellence.

While working with teams in an Agile environment, you will be:

• Designing high quality data pipelines/architectures that are highly scalable and extensible
• Providing guidance on data modeling, analysis, visualization, and implementation of data solutions
• Estimating, tasking, and prototyping
• Collaborating with cross-functional team members on software features, design and implementation
• Participating in the end-to-end delivery of data consulting projects, ensuring completion on time, on budget, and meeting or exceeding client expectations
• Investigating, learning and applying new technologies and processes
• Clarifying requirements with team and client representatives

Must Have’ Skills/Experience

• Snowflake
• Python
• Databricks or Apache Spark experience
• Design and implementation experience with Azure Cloud Data Services and/or AWS Cloud Data Services
• Design and implementation experience with Master Data Management, especially customer and reference data for financial services
• Proficiency in SQL
• In-depth knowledge of data management, analytics, business intelligence, and related technologies
• Growth mindset and desire to learn
• Bachelor’s Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)

Nice to Have’ Skills/Experience

• PowerBI or Tableau or data visualization experience
• Talend, Apache Airflow, AWS Glue, and Azure Data Factor experience
• Proficiency in Python or R
• Experience in data modeling or schema design
• Experience with Kafka or other data streaming tools
• Financial Services industry experience
• Sales, pre-sales, or consulting experience
• Exposure to and enthusiasm for Agile approaches
• Master’s Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)