Data Engineer – Contractor

Job summary

What We Need Cor*** is currently looking to hire a Data Engineer – Contractor to join our team. In this role, the Data Engineer - Contractor will join our Data & Analytics team and help support, enhance, and scale our enterprise data platform.

Benefits

Qualifications

• The ideal candidate will have hands-on experience with Microsoft Fabric, Azure Data Factory, Azure SQL
• 3–5 years of experience in Data Engineering, Data Integration, or a related technical field.
• Hands-on experience with Microsoft Fabric, including Data Warehouses, Lakehouses, and data pipelines.
• Knowledge of data modeling, data warehousing, and data integration best practices.
• Experience troubleshooting and optimizing large-scale data processing workloads.
• Strong analytical and problem-solving
• may include employment references, identity verification, criminal record checks, financial or sanctions screening, and other background checks relevant to the role and permitted by local law.
• Notice to Recruitment Agencies and Search Firms: Cor*** does not accept unsolicited resumes from agencies or search firms without a valid written agreement in place.
• Any unsolicited candidate submissions will become the property of Cor***, and no fees will be paid related to such submissions.
• Learn more about Cor***: https://www.Cor***.com
• Transparency & Compliance
• Equal Opportunity Employer

Responsibilities

• This role will be responsible for developing and maintaining data pipelines, data models, and reporting datasets across our Microsoft Fabric environment, enabling reliable and actionable data for business stakeholders.
• Supporting and enhancing enterprise data solutions built within Microsoft Fabric, ensuring reliability, scalability, and performance.
• Developing, maintaining, and optimizing data pipelines using Microsoft Fabric and Azure Data Factory.
• Building and managing data ingestion processes from internal and external data sources.
• Supporting and maintaining Fabric Data Warehouses, Lakehouses, and related data assets.
• Monitoring data pipelines and platform performance, proactively identifying and resolving issues.
• Ensuring data quality, consistency, and governance standards are maintained across the platform.
• Creating and maintaining technical documentation for data pipelines, data models, and operational processes.
• Participating in platform modernization initiatives and continuous improvement efforts.
• Supporting testing, deployment, and production validation activities for data engineering projects.
• Working closely with analytics, reporting, and business intelligence teams to enable accurate and timely reporting.
• Assisting in troubleshooting complex data integration and performance issues across multiple systems.

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