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Mid-level, common Data Engineer role with broad Azure/MySQL requirements increases candidate competition.
Azure- and MySQL-focused data engineering skills transfer across industries but require specific cloud experience.
Explicit 6–8 years plus mandatory Azure ADF/ADLS and MySQL skills make shortlisting stringent.
Design, develop, and maintain data pipelines and solutions on Microsoft Azure, including data ingestion, transformation, and integration using Azure Data Factory.
Optimize and manage MySQL databases focusing on query performance, stored procedures, and indexing.
Develop and maintain Azure data lakes and data warehouses ensuring data quality and governance across systems.
6 to 8 years of experience in data engineering or related roles with focus on cloud-based solutions.
Strong hands-on expertise with Azure Data Factory, Azure Data Lake Storage Gen2, and MySQL including query optimization, stored procedures, and performance tuning.
Proficiency in SQL & PLSQL; experience building data pipelines and warehousing solutions.
Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or a related analytical/business discipline.
Experienced in modern data architectures, including Medallion (Bronze/Silver/Gold) design patterns and cloud-native data engineering.
Practical knowledge of data quality tools, data migration techniques, and integration with REST APIs.
Familiar with version control (Git), CI/CD practices, and collaboration with cross-functional teams including data scientists and business analysts.