Senior Data Engineer (Contract)
New
C
ConcurrencyCloud, Data & AI
Brookfield, WIContractSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- Over 2 years
- Required Skills
- PythonSQLMicrosoft AzureMicrosoft Power BIData modelingPySpark
Requirements
- Over 2 years of experience designing and delivering modern data solutions on Microsoft Azure and/or Microsoft Fabric.
- Experience developing and supporting Microsoft Fabric workloads including Data Factory, Lakehouse, Warehouse, Notebooks, or Real-Time Analytics.
- Understanding of Medallion Architecture (Bronze, Silver, Gold) and modern data engineering best practices.
- Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies.
- Strong SQL development skills, including stored procedures, data transformation logic, and performance optimization.
- Knowledge of dimensional modeling, star schemas, Data Vault, and other analytical data modeling techniques.
- Ability to gather business requirements and translate them into source-to-target mappings, data models, and technical solutions.
- Experience developing semantic models, reports, and dashboards using Power BI.
- Understanding of data governance, data quality, security, and performance considerations within cloud data platforms.
Responsibilities
- Design, build, and optimize scalable data solutions using Microsoft Fabric, Azure, and modern cloud data platform technologies.
- Partner with business and technical stakeholders to gather requirements and translate them into technical designs, data models, and implementation plans.
- Develop and maintain Fabric Data Factory pipelines, dataflows, notebooks, and orchestration processes for reliable data ingestion and transformation.
- Build and support Lakehouse architectures leveraging Bronze, Silver, and Gold (Medallion) layers to improve data quality, governance, and analytics readiness.
- Develop ELT/ETL solutions using SQL, PySpark, Python, and Fabric notebooks to transform and enrich enterprise data.
- Create and optimize data models that support reporting, self-service analytics, AI, and machine learning initiatives.
- Support migrations from legacy data platforms, on-premises databases, and third-party systems into Microsoft Fabric and Azure data services.
- Implement data quality, monitoring, security, and governance practices that align with enterprise standards.
View Full Description & ApplyYou'll be redirected to the employer's site
