First hand experience in using frontend frameworks like React to build web applications. Microservices architecture experience in Java (script) or Golang. Strong knowledge of database technologies such as Postgres, MySQL etc. Experience in building data visualization dashboards using echarts, chartjs, d3.js, etc. Experience in building map visualizations using kepler.gl, deck.gl, leaflet, etc. Experience with technicalities of data visualization tools such a superset (internals, code modification, etc). Experience in developing software in Cloud Native approach will also bump up your visibility, for e.g., exposure to Docker and Kubernetes (CRDs, Operators).
The Security and Privacy team at CDPG works on research and development of advanced mechanisms for protection of data pipelines and AI systems. We are looking for highly motivated individuals to join the group to help shape the components that will contribute to securing and ensuring privacy of future India Digital Public Infrastructure (DPI) deployments and India Stack. The work involves engaging with a team of researchers at CDPG to design new privacy systems and translate innovation into working prototypes. Required qualifications - Bachelor's degree in Engineering or related discipline - Demonstrable interest and curiosity for security and privacy topics - Experience with design and analysis of complex systems (particularly critical analysis of systems) - Proficiency in at least one programming language such as C/C++/Rust/Golang/Python with a track record of implementing a system - Hands on experience developing in the Linux environment and deploying on cloud systems - Knowledge of computer architecture, basics of networking Desirable qualifications - Electrical Engineering/Computer Science degree - Coursework/projects that demonstrate proficiency in cryptography, computer architecture, operating systems, network security - Experience working with cloud orchestration tools such as K8s, and Infra as Code tools such as Terraform - Contribution to open source projects
Overview 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. 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. Required Qualifications Bachelors or Master’s degree in Computer Science, Data Engineering, Finance Technology, or related field. 8+ years of experience in data engineering/analytics with at least 3+ years in a leadership role . Strong hands-on expertise with cloud platforms (Azure, AWS) , data lakes/warehouses (ClickHouse, Iceberg, Delta Lake, etc.) , and ETL frameworks . Solid understanding of financial systems (ISO 8583 transactions, AML, fraud analytics, risk scoring). Experience with dashboarding/BI tools (e.g., Superset, Power BI, Tableau, Grafana). Proven ability to lead cross-functional teams and deliver complex projects at scale. Preferred Skills Knowledge of streaming platforms (Kafka, Event Hub, Flink). Familiarity with machine learning for fraud/risk detection. Experience with regulatory compliance systems in finance. Strong communication skills with the ability to bridge technical and business domains .