Azure Fabric Engineer
3 weeks ago
Responsibilities :
- Design, develop, and deploy end-to-end data solutions using Microsoft Azure Fabric, including its various components like Data Factory, Databricks, and Synapse Analytics within the Fabric environment.
- Create and maintain scalable and efficient data pipelines using Azure Fabric, Azure Data Factory, Azure Databricks, and Synapse Analytics for data ingestion, transformation, and loading.
- Implement and optimize data solutions based on the Medallion Architecture (Bronze, Silver, Gold layers) to ensure data quality, consistency, and efficient data processing.
- Design and implement data ingestion processes for diverse data sources (structured, semi-structured, and unstructured) into Azure Data Lake Gen2, utilizing Azure Fabric's capabilities.
- Develop and maintain data models, implement ETL/ELT processes, and design data warehousing solutions within the Azure Fabric ecosystem.
- Optimize data pipelines and queries for performance and scalability, leveraging Azure Fabric's performance tuning features.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective data solutions.
- Document data pipelines, processes, and architectures, and adhere to best practices for data engineering and development within Azure Fabric.
- Identify and resolve data pipeline issues, provide ongoing support, and ensure data availability and reliability.
Required Skills and Experience :
- Proven hands-on experience in designing and implementing data solutions using Microsoft Azure Fabric.
- Deep understanding and practical experience with Azure Data Lake Gen2, Azure Data Factory, Azure Databricks, and Synapse Analytics, specifically within the Azure Fabric environment.
- Extensive experience in implementing the Medallion Architecture for building data lakes and data warehouses.
- Strong proficiency in SQL, Python, and PySpark for data processing, transformation, and analysis.
- Solid understanding of data modeling principles, ETL/ELT processes, and data warehousing concepts.
- Experience in ingesting data from various sources, including databases, APIs, and file systems.
- Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex data issues.
- Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
Preferred Qualifications :
- Azure certifications (e.g, Azure Data Engineer Associate).
- Experience with data governance and security best practices.
- Knowledge of DevOps practices and CI/CD pipelines
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