Data Engineering Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate closely with the IS Architecture team to enhance and optimize the Data Warehouse architecture.

• Streamline data collection processes, data flows, and distributed data access.

• Design and construct data pipelines and data integrations.

• Assist software developers, data analysts, database administrators, and data scientists with data-related initiatives.

• Develop and manage integration tools, databases, warehouses, and analytical systems utilizing programming, ETL tools, and data virtualization.

• Create processes for data transformation, data structures, metadata, dependencies, and workload management.

• Extract, transform, and load structured, unstructured, and big data from various sources.

• Develop data tools to support analytics and data science teams.

• Prepare data for predictive and prescriptive modeling purposes.

• Support analytics, machine learning, and the deployment of predictive models.

• Assemble complex data sets that meet both functional and non-functional business requirements.

• Create scalable data pipelines and API integrations.

• Develop analytics tools that provide insights into customer acquisition, operational efficiency, and business performance.

• Enhance data models used by business intelligence tools to foster data-driven decision-making.

• Oversee data quality, availability, protection controls, and ecosystem performance.

• Contribute to the creation of engineering and architectural documentation.

• Assess reliability and performance across the data ecosystem through testing.

• Lead projects and ensure delivery while adhering to DevOps procedures and communicating progress effectively.

• Manage data access and disposal requests, coordinating necessary remediation activities.

• Identify and implement process enhancements, automation, and scalable infrastructure redesigns.

• Develop key performance indicators and conduct annual Data Architectural Maturity assessments.

• Provide education and mentorship on data engineering best practices.

• Analyze industry trends to enhance data engineering methodologies.

• Participate in audits, data prioritization meetings, and stakeholder discussions.

⛳️ Requirements

• Bachelor’s degree or diploma in Computer Science, Engineering, Information Systems, or a related field.

• Over 4 years of experience in data engineering management, with expertise in Python or Java, SQL, and data modeling.

• Familiarity with Agile methodologies and machine learning tools.

• Strong comprehension of data science principles.

• Exceptional communication and teamwork capabilities.

• Proven ability to lead teams, train others, and operate independently.

• Self-motivated, well-organized, and analytical in approach.

• Strong skills in project management, organization, and time management.

• Excellent written, verbal, and presentation communication skills.

• Proficient in documentation, facilitation, and negotiation.

• Effective in collaborating with and influencing stakeholders across all levels.

• Ability to tackle complex problems and meet deadlines under pressure.

• Willingness to learn about the business environment.

• The selected candidate must successfully pass a criminal background check, reference check, and credit check.

• Occasional travel to Edmonton, Calgary, or Red Deer may be required.

🏝️ Benefits

• Competitive compensation package that includes performance-based incentive pay and profit sharing.

• Health and wellness benefits.

• Vacation programs.

• Retirement savings programs.

• Opportunities for training and development.

• Potential for career advancement.

• Flexible work arrangements.

• Engaging work contributing to both individual and corporate objectives.

• Employee volunteer program.

• Credit union membership benefits, including profit sharing, voting rights for the board of directors, and financial services.

• Additional perks for members.