Enterprise Data Engineer
6 days ago
Trends Group, Inc. is a rapidly growing financial institution committed to delivering exceptional banking services. Headquartered in Edmonton, Alberta, we have established ourselves as a leader in the Canadian banking industry.
At Trends Group, Inc., our core values drive every decision we make: Trust, Discipline, People-Centric Approaches, and Innovation. We leverage our agile structure to pioneer forward-thinking banking solutions in the digital era, ensuring seamless integration with cutting-edge technologies.
We are seeking an experienced Data Engineer to join our Data, Technology & Innovation team. This permanent, full-time position presents an excellent opportunity for the right individual to contribute to building the bank of the future with considerable potential for learning, growth, and advancement.
About the Position
The Data Engineer will be responsible for designing and developing scalable data pipelines, ELT/ETL processes, and business intelligence solutions that enable efficient data access, reporting, and analytics within our enterprise data environment. This role requires hands-on experience with semantic layers, interactive dashboards, and analytical models to ensure data accuracy and accessibility.
Key Responsibilities
- Data Engineering & Pipeline Development:
- Develop and implement scalable data pipelines using cloud platforms (e.g., Azure, AWS, GCP) and modern data platforms.
- Utilize SQL, Python, and Power BI to extract, transform, and load data from multiple sources, ensuring quality and consistency.
- Data Visualization & Advanced Analytics:
- Develop interactive dashboards and reports using Power BI to provide actionable insights.
- Analyze complex datasets to identify trends, patterns, and insights, supporting data-driven decision-making.
- Data Governance & Modeling:
- Contribute to data governance frameworks and data models to ensure compliance, quality, and consistency across the organization.
- Support data validation, reconciliation, and adherence to quality standards.
- Collaboration:
- Work closely with cross-functional teams to understand analytical needs and translate them into data solutions.
- Present findings in a clear and actionable manner.
Requirements
- A bachelor's degree in computer science, data engineering, business, statistics, economics, finance, or technology.
- 3+ years of experience in data engineering, business intelligence, or a related field, with hands-on experience in data integration, transformation, and pipeline development.
- Proficiency in SQL, Python, Power BI, and ELT/ETL tools for data extraction, transformation, modeling, and reporting.
- Experience working with cloud-based data environments and modern data platforms is preferred.
Benefits
- Competitive compensation package including salary and benefits.
- Extended health, dental, vision, and mental health coverage.
- Flexible spending accounts and employee assistance program.
- Group retirement savings program with matched employer contributions.
- Generous paid time off to ensure work-life harmony.
- Collaborative work environment where your voice and opinion are valued.
- Tuition and professional development support.
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