Data Analytics Lead

Data for Public Good; Bengaluru; On-site; INR 1,901,140 - 2,851,710; Full time

Job summary

Data for Public Good is seeking a highly skilled Lead Data & Analytics Engineer based in Bengaluru, India. This role requires strong expertise in end-to-end data processing systems and financial data analytics. You will design and optimize ETL pipelines, ensure data quality and governance, analyze transaction processing systems, and lead a team of data engineers and analysts.

The ideal candidate will have significant experience with cloud platforms like Azure and AWS, and be capable of delivering enterprise-grade IT solutions.

Qualifications

• Strong expertise in end-to-end data processing systems and financial data analytics.
• Proven experience leading teams and delivering enterprise-grade IT and dashboarding solutions.
• Deep technical knowledge across data lakes, ETL, and analytics platforms.

Responsibilities

• Design, build, and optimize large-scale ETL pipelines and data processing systems.
• Ensure data quality, governance, lineage, and security.
• Analyze and model transaction processing systems to detect anomalies.
• Implement anti-money laundering (AML) solutions and fraud detection models.
• Develop and manage dashboards and reporting tools.

Skills

End-to-end data processing systems

Financial data analytics

ETL pipelines

Data lakes

Cloud platforms (Azure, AWS)

Team leadership

Job description

We are seeking a highly skilled Lead Data & Analytics Engineer with strong expertise in end-to-end data processing systems and financial data analytics. The role requires not only deep technical knowledge across data lakes, ETL, and analytics platforms but also proven experience leading teams and delivering enterprise-grade IT and dashboarding solutions.

Key Responsibilities

Data Systems Architecture & Engineering

• Design, build, and optimize large-scale ETL pipelines and data processing systems across platforms such as Azure, AWS, ClickHouse, and Apache Iceberg.
• Ensure data quality, governance, lineage, and security across ingestion, storage, and consumption layers.
• 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.
• 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.
• 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.