NEW JOB OPENING
SENIOR DATA ENGINEER
IN Edmonton, AB, CANADA!

Required Education:

• Bachelor's degree in Computer Science, IT, or a related field of study



Required Skills:

• Ensuring data quality, security, and governance (3 Years)

• Experience as a Data Engineer and/or Data Analyst (5 Years)

• Experience designing efficient dimensional models (star and snowflake schemas) for warehousing and analytics (3 Years)

• Experience developing and maintaining reports, dashboards, and visualizations using Power BI, DAX, Tableau, or Python libraries (3 Years)

• Experience manipulating and extracting data from diverse on-premises and cloud-based sources (5 Years)

• Experience performing migrations across on-premises, cloud, and cross-database environments (3 Years)

• Experience using Git, collaborative workflows, CI/CD pipelines, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform, ARM, CloudFormation) to deploy and migrate data solutions (2 Years)

• Experience with SSIS, Azure Data Factory (ADF), and using APIs for extracting and integrating data across multiple platforms and applications (3 Years)



Preferred Skills:

• Experience in application development, with knowledge of object-oriented and functional programming/scripting languages (2 Years)

• Experience in the Government of Alberta environment or an environment of equivalent size and complexity (1 Year)

• Experience with databases and data integration, including PostgreSQL, MongoDB, Azure Cosmos DB, and data integration tools like Synapse pipeline, Fabric data factory, Informatica, Talend, DBT, and Airbyte (2 Years)

• Exposure to AI/ML tools and workflows relevant to data engineering, such as integrating AI-driven analytics or automation within cloud platforms like Databricks and Azure (1 Year)



Our client is seeking a talented and versatile Data Engineer. The ideal candidate will have a strong foundation in data engineering practices, combined with the analytical skills necessary to derive actionable insights from data. This role involves designing, implementing, and maintaining robust data pipelines and architectures, as well as performing detailed data analysis to support business decisions



Job Duties:

•Data Engineering:

• Design, build, and maintain data pipelines on-premises and in the cloud (Azure, GCP, AWS) to ingest, transform, and store large datasets. Ensure pipelines are reliable and support multiple business use cases

• Create and optimize dimensional models (star/snowflake) to improve query performance and reporting. Ensure models are consistent, scalable, and easy for analysts to use

• Integrate data from SQL, NoSQL, APIs, and files while maintaining accuracy and completeness. Apply validation checks and monitoring to ensure high-quality data

• Improve ETL/ELT processes for efficiency and scalability. Redesign workflows to remove bottlenecks and handle large, disconnected datasets

• Build and maintain end-to-end ETL/ELT pipelines with SSIS and Azure Data Factory. Implement error handling, logging, and scheduling for dependable operations

• Automate deployment, testing, and monitoring of ETL workflows through CI/CD pipelines. Integrate releases into regular deployment cycles for faster, safer updates

• Manage data lakes and warehouses with proper governance. Apply security best practices, including access controls and encryption

• Partner with engineers, analysts, and stakeholders to translate requirements into solutions. Prepare curated data marts and fact/dimension tables to support self-service analytics

• Data Analytics:

• Analyze datasets to identify trends, patterns, and anomalies. Use statistical methods, DAX, Python, and R to generate insights that inform business strategies

• Develop interactive dashboards and reports in Power BI using DAX for calculated columns and measures. Track key performance metrics, share service dashboards, and present results effectively

• Build predictive or descriptive models using statistical, Python, or R-based machine learning methods. Design and integrate data models to improve service delivery

• Present findings to non-technical audiences in clear, actionable terms. Translate complex data into business-focused insights and recommendations

• Deliver analytics solutions iteratively in an Agile environment. Mentor teams to enhance analytics fluency and support self-service capabilities

• Provide data-driven evidence to guide corporate priorities. Ensure strategies and initiatives are backed by strong analysis, visualizations, and models

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**