Key Responsibilities :
Data Systems Architecture & Engineering :
- Design, build, and optimize large-scale ETL pipelines and data processing systems across
platforms such as Azure, AWS, Click House, and Apache Iceberg.
- Ensure data quality, governance, lineage, and security across ingestion, storage, and
consumption layers.
Financial Data Analytics :
- Analyze and model transaction processing systems (e.g., ISO 8583) to detect anomalies,
risks, and inefficiencies.
- Implement and enhance anti-money laundering (AML) solutions, fraud detection models,
risk scoring, and cash flow analytics.
- Work closely with business stakeholders to translate financial compliance and regulatory
needs into data-driven insights.
Full-Stack IT & Dashboarding :
- Oversee and manage end-to-end IT systems supporting data pipelines, APIs, and
analytical workloads.
- Develop and manage dashboards, reporting tools, and visualization platforms to deliver
actionable insights to business users and executives.
- Ensure performance, scalability, and reliability of analytics platforms.
Leadership & Collaboration :
- Lead, mentor, and grow a team of data engineers, analysts, and developers.
- Collaborate with cross-functional teams including finance, compliance, product, and IT
infrastructure.
- Drive best practices in agile delivery, DevOps, CI/CD, and cloud-native architectures.
Location & Work Environment:
➢ Office Location: Bangalore (Located within the IISc Campus).
➢ Work Model: Hybrid (4 days in-office per week).
Work Location: In person
