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Tier-1 brand, metro location, broad BI/data skillset and generalist senior role increase candidate competition.
Core BI and data engineering skills are transferable, though banking regulatory expertise moderately increases domain specificity.
Multiple mandatory technical, governance, and leadership requirements indicate a high filtering bar.
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Design, develop, and maintain comprehensive management reports, dashboards, and data visualisations to communicate KPIs and business insights.
Implement automated reporting processes and data visualisation methodologies to enhance efficiency and timeliness.
Lead and advise teams or act as subject matter expert on data engineering, BI platform development, and technical direction with focus on data quality, governance, and cloud-native architectures.
Strong expertise in data engineering, data management, governance, lineage, metadata management, and data quality frameworks.
Hands-on experience with modern data lake architectures on AWS, Azure, or similar cloud platforms.
Experience building and scaling BI and analytics platforms such as Power BI or Tableau.
Proven skills in Java, microservices, APIs, event-driven architectures, and cloud-native technologies.
Experienced in leading or guiding Agile engineering teams focused on data platforms and automation (DataOps, AI-enabled solutions).
Able to translate complex business requirements into scalable data products and actionable insights.
Comfortable working with advanced technologies including GenAI, machine learning, and real-time data processing in a regulated enterprise environment.