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Protocol Intelligence
Data-driven signals on your job's competitivenessGeneralist Data Engineer, mid-level (2–4 yrs) in Hyderabad with broad Azure skills yields high applicant competition.
Azure-specific Microsoft stack increases domain specificity, but data engineering skills remain reasonably transferable across industries.
Explicit 2–4 year requirement plus mandatory Azure and SQL skills create moderate shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain data pipelines using Microsoft Azure data services including Azure Data Factory, Azure Data Lake, and Azure SQL Database.
Build and optimize ETL/ELT pipelines and SQL queries to support analytics, reporting, and data warehouse solutions.
Collaborate with cross-functional teams to deliver secure, scalable, and high-quality data solutions while ensuring data governance compliance.
Minimum Requirements
2–4 years of experience in data engineering or related roles with hands-on Microsoft technology stack experience.
Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related discipline.
Strong skills in SQL Server, T-SQL, Azure Data Factory, Azure SQL Database, Azure Data Lake, and ETL/ELT concepts.
Willingness to work 5 days a week from office in Hyderabad.
Ideal Candidate Profile
Experienced in designing scalable data pipelines on Azure and optimizing complex SQL queries for performance.
Comfortable working in Agile environments and collaborating with data analysts, business teams, and application teams.
Familiar with data warehousing principles, data quality management, and modern automation including CI/CD and scripting (Python/PySpark/C# preferred).