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Mid-level, metro-based Azure data engineer role with broad skills and general title increases competition.
Azure-managed-services, Synapse and Databricks focus makes cross-industry fit highly domain-specific.
Explicit 5+ years, Azure managed-services, and mandatory Python/SQL create strict shortlisting filters.
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Own monitoring and management of Azure-based production Data & Analytics solutions to ensure performance and reliability.
Troubleshoot and resolve complex technical issues, contributing to a 24x7 support model with shift rotations, weekend, and on-call duties.
Develop enhancements, optimizations, and automation tools to streamline operations and provide expert support directly to end-users and customers.
Minimum 5+ years professional experience, including Managed Services team experience supporting Azure Data & Analytics ETL/integration solutions (e.g., Synapse, Databricks, Data Factory).
Strong hands-on skills in Python and SQL mandatory.
Experience with ticket management and direct customer/end-user communication (phone, tickets, email).
Work mode: Hybrid with 1 day in-office per week; Location: Nanakramguda, Hyderabad, India.
Experienced in managing Azure data platforms within a production Managed Services environment under SLA constraints.
Technical proficiency with Azure data services and scripting (Python, SQL) to manage and optimize complex data pipelines.
Comfortable working in a shift-based 24x7 support structure requiring coordination with end-users and quick incident resolution.