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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain Azure-based data ingestion, transformation, and integration pipelines using Azure Data Factory.
Manage and optimize MySQL databases including query optimization, stored procedures, and performance tuning.
Develop and maintain data lakes and data warehouses on Azure ensuring data quality, integrity, and governance.
Minimum Requirements
6–8 years of experience in data engineering or related roles focused on cloud-based architecture.
Strong hands-on experience with Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), MySQL, SQL, and PLSQL.
Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or a related business/analytical discipline.
Work Experience Required: 6 to 8 years in data engineering with cloud focus.
Ideal Candidate Profile
Experienced in building and optimizing complex data pipelines and data warehousing solutions on Azure.
Skilled in collaborating with cross-functional teams including data scientists, analysts, and business units to deliver data solutions.
Experienced with version control (Git), CI/CD practices, and familiar with modern data architectures including Medallion design patterns.