LP
AWS Data Engineer
LinkedIn Recruiter Post
Hiring an AWS Data Engineer for a contract position in Toronto. Requires 7 - 10 years of experience in data engineering with strong expertise in AWS, Python, SQL, PySpark, and Airflow.
About the role
- Senior Data Engineer at Softchoice leading design and optimization of data solutions within Microsoft Fabric. Collaborating with teams to ensure seamless data integration and decision-making processes.
Responsibilities
- Design and orchestrate complex integrations across Data Factory, REST APIs, and other enterprise data services.
- Lead scalable ELT strategies using Spark Notebooks, Data Factory, and Synapse Pipelines.
- Architect multi‑domain Lakehouse environments, including structure, metadata, and governance standards.
- Optimize Data Warehousing workloads and configure performance settings for high‑throughput environments.
- Design enterprise‑grade data models and refresh strategies for scalable, governed Power BI reporting.
- Define and enforce modeling standards and best practices across engineering and analytics teams.
- Develop reusable, optimized Spark jobs and configure compute pools for cost‑efficient performance.
- Establish naming conventions, workspace governance, and CI/CD deployment strategies across Fabric.
- Lead data governance frameworks, including sensitivity classifications and access‑control standards.
- Build monitoring dashboards, alerts, and automated testing for Fabric pipelines and operations.
- Demonstrate expert-level platform knowledge with the ability to troubleshoot, automate, and optimize end‑to‑end Fabric solutions.
- Partner with architects, data scientists, and business stakeholders to align technical strategy with business needs.
- Mentor engineers, review notebooks and data models, and drive adoption of Microsoft Fabric best practices.
- Align Microsoft Fabric capabilities with enterprise data strategy, roadmaps, and long-term growth plans.
- Lead cross-team data initiatives and influence architectural direction, governance decisions, and platform evolution.
- Leverage AI coding agents and AI-assisted development tools (e.g., GitHub Copilot, Windsurf, or similar) to accelerate data engineering workflows, automate repetitive tasks, and improve code quality across the Fabric ecosystem.
- Author and review advanced DAX measures, calculated columns, and time-intelligence logic to support complex, governed Power BI semantic models.
- Translate ambiguous business problems into clear technical requirements, adapting communication style to audiences ranging from executive sponsors to frontline analysts with varying levels of data literacy.
Requirements
- 5+ years of experience with deep expertise across the Microsoft data ecosystem, including Microsoft Fabric, Data Factory, Spark, Synapse, and Power BI
- Proven ability to design and orchestrate complex data integrations, leveraging Data Factory, REST APIs, and other enterprise data sources
- Leadership in defining and executing scalable ELT strategies using Spark notebooks, Data Factory, and Synapse pipelines
- Experience architecting multi-domain Lakehouse environments, with strong governance around structure, metadata, and reuse
- Advanced knowledge of data warehousing optimization, including performance tuning and workload configuration
- Expertise in designing scalable Power BI semantic models, refresh strategies, and governed reporting solutions
- Ability to define and enforce data modeling standards and best practices across multiple teams
- Strong skills in writing reusable, high-performance Spark jobs and configuring compute pools for optimal performance and cost efficiency
- Experience establishing naming conventions, workspace governance, and CI/CD deployment strategies
- Leadership in data governance, including sensitivity classifications, security models, and access control frameworks
- Ability to build and maintain monitoring, alerting, and automated testing for Fabric pipelines and data assets
- Expert-level understanding of the Fabric platform, with the ability to troubleshoot, automate, and optimize end-to-end solutions
- Strong partnership skills, collaborating with architects, data scientists, and business stakeholders to align technical solutions with business goals
- A passion for mentoring and technical leadership, including code reviews, model reviews, and driving adoption of new Fabric capabilities
- Ability to align Microsoft Fabric implementations with enterprise data strategy and long-term growth plans
- Hands-on experience using AI coding agents and AI-assisted development tools in a data engineering context; comfort integrating AI into daily development workflows and evangelizing adoption across the team.
- Advanced DAX proficiency, including complex measure authoring, calculation groups, and optimization techniques for large-scale Power BI semantic models.
- Strong business acumen with a genuine interest in understanding business domains, KPIs, and decision-making processes — and the ability to build trust with stakeholders at all levels of data sophistication, from data-savvy analysts to non-technical business leaders.
- Preferred Microsoft Fabric certification – DP600, DP700.
Benefits
- Health and Wellbeing: Medical and Dental Care, Employee & Family Assistance Program
- Financial Benefits: RRSP/DPSP Retirement Savings Plan with Company Matching, Life and Disability Insurance
- Paid Time Off: Vacation and Sick Leave, Holidays, Parental Leave, Volunteer Days, Bereavement Leave
- Additional Perks: Employee Discount Program
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