Senior Data Engineer Lead — Cloud, Snowflake & BI

Electric Mind; Toronto (SD); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Job summary

Electric Mind is seeking a Data Engineer to lead data management, analytics, and BI initiatives. You will design scalable data pipelines, model data, and guide implementation across Azure and AWS data services.

The role emphasizes collaboration in Agile settings, prototyping, and delivering value to financial services and other industries. A strong growth mindset and solid SQL skills are essential.

Qualifications

• Bachelor’s degree in Data Science, Analytics, Computer Science, or related field.
• Strong knowledge of Snowflake, SQL and data modeling.
• Experience with Databricks or Apache Spark and cloud data services (Azure/AWS).
• Proven ability to design scalable data pipelines and BI solutions.
• Experience with Master Data Management for customer/reference data.
• Growth mindset with ability to learn new technologies.

Responsibilities

• Design scalable data pipelines and architectures.
• Provide guidance on data modeling, analytics, and BI implementation.
• Estimate tasks, prototype solutions, and deliver on time.
• Collaborate with cross-functional teams on features and design.
• Deliver end-to-end data consulting projects per client needs.
• Explore new technologies and best practices with the team.

Skills

Snowflake

Python

Databricks

Azure Cloud Data Services

AWS Cloud Data Services

Master Data Management

SQL

Data management

BI / Analytics

Growth mindset

Education

Bachelor’s Degree in Data Science

Bachelor’s Degree in Business Analytics

Bachelor’s Degree in Computer Science

Master’s Degree in Data Science

Master’s Degree in Data Analytics

Tools

PowerBI

Tableau

Talend

Apache Airflow

AWS Glue

Azure Data Factory

Kafka

Azure Data Services

AWS Data Services

Job description

Electric Mind is seeking a Data Engineer to lead data management, analytics, and BI initiatives. You will design scalable data pipelines, model data, and guide implementation across Azure and AWS data services.

The role emphasizes collaboration in Agile settings, prototyping, and delivering value to financial services and other industries. A strong growth mindset and solid SQL skills are essential.