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Tier-1 brand, mid-level generalist role, metro locations and broad Azure requirements increase competition.
Azure-focused data engineering skills transfer well across industries but require cloud-specific expertise.
Explicit 6–10 years and mandatory Azure data platform skills make shortlisting highly selective.
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Design, develop, and deploy enterprise-scale data engineering solutions on Microsoft Azure platform.
Lead technical discussions, prepare technical architecture and design, oversee code deployment, and mentor junior team members.
Manage project lifecycle activities including planning, execution, tracking metrics, and reporting status for data engineering deliverables.
6–10 years of experience implementing, maintaining, or supporting distributed applications on Microsoft Azure Data platform.
At least 2 years hands-on experience with Azure SQL, Data Warehouse, Synapse, and stored procedures.
Proficiency in developing Azure Data Factory (ADF) objects (pipelines, configurations, parameters, variables, integration runtime).
BE/B.Tech/MCA/MSc (CS) degree or equivalent from an accredited university.
Experienced with large-scale Azure data services including Data Factory, Azure Storage, SQL DB, Synapse, and data warehousing concepts.
Capable of leading cross-functional teams and mentoring junior members while managing full project lifecycle in data engineering.
Comfortable working in hybrid cloud AI and data platforms environment supporting automation and operational efficiency.