About the Role

Azure Data engineering team is leading the transformation of data analytics with products like databases, data integration, messaging real-time analytics, and business intelligence. Within Azure Data, the databases team builds and maintains Microsofts operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries

Your Key Responsibilities

• Expertly perform tasks under supervision.
• Develop and maintain end-to-end data pipelines using cloud-native solutions to extract, load, and transform data from disparate data sources to a cloud data warehouse.
• Capable of formatting and distributing custom data extracts through various means like RestAPIs and other bulk data transfer mediums) and optimizing data storage options based on business requirements.
• Hands on experience of designing architecture for data focused Microsoft Azure projects.
• Competent in helping to develop design database structure and function, schema design, and database testing protocols.
• Contribute to the process of defining company data assets (data models) and custom client workflows, as well as standardized data quality protocols.
• Capable of independently and collaboratively troubleshooting database issues and queries for improving data retrieval times across various systems (e.g., via SQL).
• Collaborate with both technical and non-technical stakeholders including IT, Data Science, and various team members across a diverse array of business units.
• Work closely with IT team whenever necessary to help facilitate, troubleshoot, or develop database connectivity between internal external resources (e.g., on-premises Azure Data Lakes, Data Warehouses, and Data Hubs).
• Help implement and enforce enterprise reference architecture and ensure that data infrastructure design reflects enterprise business rules as well as data governance and security guidelines.
• Hands-on experience in Azure Blob storage, ADLS.
• Proficient in SQL Scripting on cloud-based data warehousing tools.
• A willingness to learn and grow with MS Fabric technology and advanced analytical tools.
• Microsoft Certified: Fabric Analytics Engineer Associate certification or working knowledge on Microsoft Fabric Lake house is a plus.
• Knowledge on version control tool preferably GitHub.

• Azure Data Factory
• Azure ADF
• Azure Data Lake
• Microsoft Fabric
• Python / Pyspark
• SSIS
• SQL