Electric Mind Logo

Electric Mind

Data Engineer

Reposted 21 Days Ago
Hybrid
Toronto, ON, CAN
Mid level
Hybrid
Toronto, ON, CAN
Mid level
As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.
The summary above was generated by AI
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 and technology 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, 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)

For more info on Electric Mind, check out our Careers Page and Instagram.

Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.

HQ

Electric Mind Toronto, Ontario, CAN Office

Toronto, Canada

Electric Mind Toronto, Ontario, CAN Office

200 Adelaide Street West, Suite 100, , Toronto, Ontario , Canada, M5H 1W7

Similar Jobs

2 Days Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Design, build, and maintain end-to-end data pipelines and data models in Snowflake using Medallion Architecture. Develop ingestion and transformation logic with Python and/or Informatica, implement CI/CD and version control (Git/Bitbucket), leverage Snowflake AI/ML (Cortex/LLM integrations), monitor and optimize pipelines, and ensure data quality and performance across environments.
Top Skills: AWSBitbucketCi/CdGitInformaticaLlm IntegrationsMedallion ArchitecturePythonSnowflakeSnowflake Ai/MlSnowflake CortexSQL
Yesterday
In-Office
Toronto, ON, CAN
Senior level
Senior level
Fintech • Payments • Financial Services
Design, implement and maintain enterprise BI and cloud data platform solutions. Develop BI reports, dashboards and workflows; automate processes; monitor production and UAT; troubleshoot complex issues; evaluate emerging BI and cloud technologies; collaborate with stakeholders to deliver scalable, customer-centric BI services.
Top Skills: AlteryxAzureDatabricksJSONPower BIPower Bi FabricRestful ApisSas ViyaSQL
6 Days Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met.
Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account