Data Engineer

Electric Mind

. Design high quality data pipelines and architectures that are highly scalable and extensible .

Posted 9/21/2026full-timeToronto • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data pipelines and architectures using technologies such as Snowflake, Python, and Azure or AWS Cloud Data Services. Proficient in data modeling, analytics, and visualization tools like PowerBI or Tableau, with a strong background in financial services and Agile methodologies.

Highest-signal resume keywords

SnowflakePythonAzure Cloud Data ServicesData ModelingFinancial Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDatabricksApache SparkMaster Data ManagementData VisualizationTalendApache AirflowAWS GlueAzure Data FactoryKafka

Soft Skills

Growth MindsetCollaborationClient CommunicationProblem Solving

Tools & Technologies

PowerBITableauAgile Methodologies

Industry Keywords

Data ManagementBusiness IntelligenceFinancial ServicesData Consulting

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudKafkaPythonSparkSQLTableau

About the role

Key responsibilities & impact

Design high quality data pipelines and architectures that are highly scalable and extensible
Provide guidance on data modeling, analysis, visualization, and implementation of data solutions
Estimate, task, and prototype
Collaborate with cross-functional team members on software features, design, and implementation
Participate in end-to-end delivery of data consulting projects, ensuring completion on time, on budget, and meeting or exceeding client expectations
Investigate, learn, and apply new technologies and processes
Clarify requirements with team and client representatives
Work with teams in an Agile environment

Requirements

What you’ll need

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)
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

Benefits

Comp & perks

Full Time - 6-12 Month Contract
Continuous opportunities to learn, grow, and share knowledge within your team and expert communities