Data Engineer

Electric Mind; Golden Horseshoe; On-site; CAD 70,000 - 110,000; Full time

Job summary

An established industry player seeks a Data Engineer to enhance data management and analytics capabilities. This role offers the chance to design and implement scalable data solutions while collaborating in an Agile environment. You'll work on innovative data pipelines and contribute to end-to-end delivery of consulting projects, ensuring client satisfaction. Join a team that values continuous learning and growth, where your technical expertise will drive impactful results. If you're passionate about data and eager to innovate, this opportunity is perfect for you.

Qualifications

• Experience with data management, analytics, and business intelligence.
• Proficiency in designing and implementing data solutions.

Responsibilities

• Design high-quality data pipelines and architectures.
• Collaborate with cross-functional teams on software features.

Skills

Snowflake

Databricks

Apache Spark

Azure Cloud Data Services

AWS Cloud Data Services

SQL

Data Management

Business Intelligence

Growth Mindset

Education

Bachelor’s Degree in Data Science

Bachelor’s Degree in Business Analytics

Bachelor’s Degree in Computer Science

Tools

PowerBI

Tableau

Talend

Apache Airflow

AWS Glue

Azure Data Factory

Python

R

Kafka

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, 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.