Job Title: Fabric Data Engineer
Location: Ottawa, ON (Hybrid)
Estimated Duration: 6 Months
We’re seeking a Data Engineer to develop and optimize data workflows that extract, cleanse, and transform large volumes of information from multiple platforms. This role involves unifying complex datasets, improving data quality, and streamlining ingestion and transformation processes to enable faster, more reliable insights for analytics, AI, and ML initiatives
Key Responsibilities
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Build, automate, and maintain data workflows.
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Develop and optimize ETL/ELT pipelines for data ingestion, transformation, and delivery.
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Write efficient Python scripts for data processing and automation.
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Manage and transform raw data into structured formats for analytics and reporting.
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Work with Azure Data Services (e.g., Azure Data Lake, Azure Synapse, Azure SQL DB).
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Collaborate with stakeholders to understand data requirements and design scalable solutions.
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Ensure data quality, performance, and reliability across all pipelines.
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Document data workflows, schemas, and operational processes.
Required Skills & Qualifications
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Experience in data engineering or related roles.
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Proficiency in SQL (querying, optimization, stored procedures).
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Strong Python programming skills (Pandas, PySpark, or equivalent libraries).
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Hands-on experience building and managing workflows.
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Familiarity with Azure cloud services (ADLS, Azure Synapse, ADF).
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Basic understanding of data modeling and warehousing concepts.
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Ability to troubleshoot and debug data pipelines.
The pay range that the employer reasonably expects to pay for this position is between CA$40.00 and CA$55.00
Our voluntary benefits offering includes medical, dental, vision and retirement benefits.
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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.
We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.
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