Senior Data Engineer
2 days ago
Job Title: Senior Data Engineer, Microsoft Fabric + SSIS Specialist
Location: Noida, Sector 62 (Onsite, Full-Time, Long-Term Project)
Experience Required: 7 + Years
Availability: Immediate Joiners Only
Role Overview:
We are looking for a highly skilled Senior Data Engineer 7+ years of experience as a Microsoft Fabric Specialist to lead the design, development, and optimization of modern data solutions. The role involves working extensively with Azure Fabric, ADF, Databricks, SSIS, Power BI, and PySpark to build scalable, high-performance data pipelines and analytics systems.
Key Responsibilities:
- Lead the design, development, and implementation of Fabric Pipelines, SSIS Packages, Data Flows, and ETL processes.
- Build and maintain Notebooks using PySpark / SQL for large-scale data transformation and processing.
- Perform SQL Data Modeling, Query Tuning, and Performance Optimization for efficient data solutions.
- Design and implement ETL workflows to move data between Microsoft Fabric, Azure, and on-premise systems.
- Develop and manage Azure Data Factory (ADF) and Databricks pipelines for seamless data integration.
- Apply Medallion Architecture principles (Bronze Silver Gold) for structured data layering and governance.
- Implement and manage CI/CD pipelines in Azure DevOps for automated deployment and version control.
- Oversee Database Design ensuring scalability, performance, and reliability.
- Design, develop, and optimize Power BI dashboards and reports for business insights.
- Ensure data quality, security, and compliance across all systems and deliverables.
Provide technical leadership, mentoring, and guidance to junior engineers and data teams.
Required Skills & Expertise:
- Strong hands-on experience with Azure Data Factory (ADF), SSIS, Databricks, and Microsoft Fabric.
- Expertise in PySpark, SQL, and Notebook-based data transformations.
- Proficiency in SQL Server database development queries, stored procedures, and performance tuning.
- Proven experience in Power BI report/dashboard development (mandatory).
- Solid understanding of ETL design, data modeling, and database optimization.
- Familiarity with Medallion Architecture and Data Lakehouse principles.
- Knowledge of CI/CD best practices and Azure DevOps pipelines.
- Experience with Apache Airflow for workflow orchestration (preferred).
- Excellent analytical, debugging, and problem-solving skills.
Demonstrated ability in team leadership, project delivery, and mentoring.
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science, Information Technology, or related field.
- Microsoft Azure or Data Engineering certification(s) preferred.
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