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Popular Azure data engineer role with common skills yields moderate candidate competition for a lesser-known employer.
Core Azure and MySQL data engineering skills transfer across industries despite optional domain experience preferences.
Explicit 6–8 years and mandatory Azure, MySQL, and data platform skills make filters strict.
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Design, develop, and maintain data pipelines and integration solutions using Azure Data Factory within Microsoft Azure environment.
Work extensively on MySQL for data extraction, query optimization, stored procedures, and performance tuning.
Develop and manage data lakes and warehouses ensuring data quality, integrity, and governance, while collaborating with data scientists and business teams.
6 to 8 years of experience in data engineering or related roles, focusing on cloud-based data solutions.
Proven expertise in Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), MySQL, SQL & PLSQL, and data pipeline development.
Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or a related analytical/business discipline.
Work Experience Required: 6–8 years in data engineering or related roles.
Strong experience operating in cloud-based data engineering environments using Microsoft Azure services, specifically Azure Data Factory and ADLS Gen2.
Proven ability to optimize MySQL databases including query tuning and stored procedures for high-performance data solutions.
Experience working cross-functionally with data scientists, analysts, and business teams to deliver actionable data solutions in fast-paced environments.