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Tier-1 bank brand, metro location, and broad BI/data skillset increase candidate competition.
Data engineering and BI skills transfer across industries, though banking regulatory experience increases fit sensitivity.
Multiple mandatory technical domains, cloud, BI tooling and leadership create stringent filtering.
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Lead design, development, and automation of management reports, visualisations, and dashboards to communicate KPIs and data insights across business units.
Own data engineering aspects including data management, governance, lineage, quality frameworks, and implementation of modern data lake architectures on cloud platforms like AWS or Azure.
Drive delivery of scalable BI and analytics platforms, enterprise services using Java and cloud-native technologies, and lead Agile engineering teams towards automation, DataOps, and AI-enabled innovations.
Proven experience in data engineering, BI platform development (e.g., Power BI, Tableau), and enterprise service architectures using Java and microservices.
Hands-on expertise with cloud data lake architectures (AWS, Azure) and data quality/governance frameworks.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Role based in Pune, India.
Experienced in delivering end-to-end data products and actionable business insights through scalable BI/analytics platforms in complex enterprise environments.
Skilled in translating complex business requirements into technical solutions integrating data governance, regulatory compliance, and risk frameworks.
Demonstrated leadership capability in managing high-performing Agile teams, influencing senior stakeholders, and driving innovation with emerging technologies such as GenAI and machine learning.