Senior Data Engineer
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Key skills for this role
Role Overview
Hantec Trader is seeking a Senior Data Engineer with strong expertise in the Microsoft data ecosystem to design, build, and optimize scalable data platforms. The role involves developing modern data pipelines, implementing automation, and supporting AI initiatives.
Key Skills for This Role
Full Job Posting
Senior Data Engineer
Hantec Trader is seeking a Senior Data Engineer with strong expertise in the Microsoft data ecosystem to design, build, and optimize scalable data platforms. The role involves developing modern data pipelines, implementing automation, and supporting AI initiatives.
Key Responsibilities
- Redesign and refactor existing SQL code, data models, and data structures.
- Build, maintain, and optimize ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
- Design and implement scalable data warehouse and lakehouse architectures.
- Develop automated data ingestion, transformation, and orchestration pipelines.
- Implement data validation, quality checks, monitoring, and automated workflows.
- Collaborate with Data Analysts to deliver clean, reliable datasets and semantic models for reporting and analytics.
- Optimize SQL queries, stored procedures, and database performance.
- Develop and maintain CI/CD deployment processes for data solutions.
- Drive automation initiatives using Power Automate and other Microsoft automation tools.
- Support AI and Copilot initiatives by preparing and governing high-quality data for AI-powered solutions.
- Ensure performance, security, governance, and reliability across all data platforms.
- Work closely with cross-functional teams to deliver scalable and business-focused data solutions.
Required Skills & Experience
- 5+ years of experience as a Data Engineer or Senior Data Engineer.
- Strong experience with Microsoft Fabric.
- Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
- Extensive SQL Server development experience, including performance tuning and query optimization.
- Experience designing and maintaining enterprise ETL/ELT pipelines.
- Strong understanding of data warehouse, lakehouse, and dimensional modeling concepts.
- Experience with workflow automation using Power Automate or similar automation platforms.
- Experience with Git, DevOps, and CI/CD pipelines.
- Exposure to AI, Copilot, or machine learning data integration is highly desirable.
- Knowledge of Power BI semantic models is an advantage.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently while collaborating effectively within a cross-functional team.
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