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Tier-1 brand, metro location, broad generalist data skillset, and popular Data Engineer title increases competition.
Specialized enterprise ETL and cloud tooling required, but core data engineering skills remain transferable.
Explicit 9+ years requirement, mandatory tech skills, payroll verification, and strict notice period raise screening rigidity.
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Lead end-to-end delivery of large enterprise data engineering programs involving database design, ETL/ELT pipelines, and cloud data platforms.
Design and optimize multi-tenant database schemas and advanced SQL queries across platforms including Oracle, Azure SQL MI, MySQL, and Snowflake.
Develop, deploy, and maintain batch and streaming data pipelines using tools like Informatica, SnapLogic, Azure Functions, Python, and Azure data services with strong DataOps/CI-CD practices.
9+ years of experience in Data Engineering/Big Data/Platform Engineering with large enterprise program delivery.
Advanced SQL skills plus hands-on experience with ETL/ELT tools such as Informatica and SnapLogic targeting cloud data warehouses like Snowflake.
Proficiency in Azure data platform services including Azure Data Factory, Databricks, Event Hubs, and knowledge of DataOps/CI-CD pipelines (GitHub workflows, automated DB releases).
Ability to work hybrid onsite in Bangalore (Manyata or EGL), with notice period of 0 to 3 weeks; must submit genuine employment proof including digitally signed Form16 and consistent employment history.
Experienced senior data engineer comfortable designing multi-tenant schemas and optimizing complex SQL queries across multiple RDBMS and cloud platforms.
Proven track record building scalable ETL/ELT pipelines on Azure ecosystem and managing DataOps workflows.
Capable of working in hybrid client environment with strict compliance on employment authenticity and availability for Bangalore office hours (10:30 AM - 8:30 PM shift).