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Tier-1 bank, Bengaluru location, mid-level manager role with broad data/GenAI skills increases competition.
Core data engineering and GenAI skills transfer easily across industries despite HCM domain preference.
Explicit 6+ years, 3+ leadership, and mandatory data/GenAI tech skills make screening stringent.
Lead and manage data engineering teams to design, develop, and deliver scalable data solutions across HR data ecosystem.
Own enterprise data initiatives strategy, including Cloud engineering, Data Lake/lakehouse platforms, AI technology integration, and agile/DevOps delivery.
Manage resources, vendors, budgets and mentor talent to align with business priorities and operational excellence.
6+ years of Software Engineering experience.
3+ years of management or leadership experience.
6+ years of Data Engineering experience with expertise in cloud-native lakehouse architectures and modern data platforms (Azure, GCP).
Experience with AI/ML/GenAI technologies and frameworks relevant to data engineering.
Experienced leader in large-scale data engineering within enterprise or HR IT environments, capable of strategic and operational management.
Strong technical hands-on background with cloud platforms (Azure, GCP), distributed processing, data governance, and AI technologies.
Proven ability to drive complex cross-functional programs, influence senior stakeholders, and deliver innovation through agile and DevOps practices.