Data Engineer
Perfict Global, Inc.
Data Engineer
Location: Woburn, MA (Onsite) Duration: Long-Term Contract
Job Summary: We are seeking an experienced Data Engineer with strong expertise in the Microsoft Azure ecosystem to design, build, and maintain scalable, secure, and high-performance data platforms. The ideal candidate will have hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, Python, SQL, and Spark, along with a solid understanding of modern data architectures, ETL/ELT pipelines, and CI/CD practices.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, and Azure Synapse.
- Build and optimize data pipelines and database solutions for structured and unstructured data.
- Develop data workflows using Python, SQL, and Spark.
- Design modern data architectures, including Lakehouse and Medallion models.
- Integrate data from APIs, third-party applications, and hybrid (on-premises/cloud) environments.
- Optimize data storage and query performance using Delta Lake, partitioning, and columnstore technologies.
- Implement secure data solutions using RBAC, Azure Key Vault, Managed Identities, and Private Endpoints.
- Develop and maintain CI/CD pipelines using Azure DevOps or GitHub.
- Ensure data quality, reliability, monitoring, and automated alerting across data platforms.
- Support analytics and AI teams by delivering clean, governed, and production-ready datasets.
- Collaborate with architects, developers, analysts, and business stakeholders to deliver scalable data solutions.
- Mentor junior engineers and contribute to engineering best practices.
- Participate in Agile development processes.
Required Qualifications:
- 8+ years of experience in Data Engineering, Software Engineering, or Platform Engineering.
- 5+ years of experience building enterprise data solutions on the Microsoft Azure platform.
- Strong hands-on experience with Microsoft Fabric.
- Experience with at least two of the following:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Databricks
- Azure SQL
- Power BI
- Strong proficiency in Python, SQL, and Spark.
- Experience with modern data architectures such as Lakehouse and Medallion.
- Experience with ETL/ELT development and performance tuning.
- Hands-on experience with CI/CD, Git, and Azure DevOps.
- Strong knowledge of enterprise security, access control, and identity management.
- Excellent troubleshooting, performance optimization, and problem-solving skills.
- Experience working in enterprise or regulated environments.
Preferred Qualifications:
- Microsoft certifications:
- DP-700 – Fabric Data Engineer (or willingness to obtain within six months)
- DP-600
- DP-203
Vacancy posted 2 days ago
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