The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.
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.
Top Skills
Apache Airflow
Spark
Aws Cloud Data Services
Aws Glue
Azure Cloud Data Services
Azure Data Factory
Databricks
Kafka
Power BI
Python
R
Snowflake
SQL
Tableau
Talend
Electric Mind Toronto, Ontario, CAN Office
200 Adelaide Street West, Suite 100, , Toronto, Ontario , Canada, M5H 1W7
Similar Jobs
Consumer Web • Retail
The Data Engineer will develop and manage ETL data pipelines, deploy and manage ML models, and automate processes while collaborating with data scientists and IT teams.
Top Skills:
AzureAzure Data FactoryAzure Data Lake StorageAzure DatabricksDockerKubernetesMlflowPysparkPythonSparkSynapse ServerlessTensorflow Serving
Consumer Web • Retail
The Data Engineer will manage ETL processes, deploy ML models, ensure data reliability, and collaborate with data scientists and IT teams.
Top Skills:
AzureAzure Data FactoryAzure Data Lake StorageAzure DatabricksDockerKubernetesMlflowPysparkPythonSynapse ServerlessTensorFlow
Retail
The Data Engineer will design and manage ETL pipelines, deploy ML models, collaborate with data scientists, and ensure data quality and model performance.
Top Skills:
SparkAzureAzure Data FactoryAzure Data Lake StorageAzure DatabricksDockerKubernetesMlflowPysparkPythonPyTorchTensorflow Serving
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.
