Senior Data Engineer

Single PositionExplore a Career With UsView All JobsHybridSenior Data EngineerPUNE, Mahārāshtra, India No longer accepting applications.Job ID26970401Date posted06/08/2026DepartmentTechnologyThis role is suited for a Data Engineer / Senior Data Engineer with a strong background in Data Engineering, SQL, WebSphere Application Server (WAS), Middleware, and Enterprise Applications, particularly within Banking, Payments, and Financial Services environments. The individual will be responsible for designing and developing scalable data solutions, optimizing databases, managing enterprise application platforms, and ensuring high performance, availability, and reliability of business-critical systems. The role combines hands-on expertise in data engineering, database technologies, middleware platforms, messaging systems, and DevOps practices to drive technology modernization and operational excellence.The candidate will collaborate closely with development, infrastructure, and business teams to deliver data integration initiatives, enterprise application deployments, platform enhancements, automation, and strategic technology transformations. Experience with payment systems, SWIFT, ISO 20022, and enterprise integration platforms will be highly advantageous. Strong analytical thinking, problem-solving capabilities, stakeholder management, and a results-oriented mindset are essential for success in this role.Key Technology AreasData EngineeringETL/ELT development and data integrationData pipeline design and optimizationData warehousing and data modelingBatch and real-time data processingData validation, reconciliation, and data quality managementDatabases & SQLAdvanced SQL developmentStored procedures, functions, views, and triggersQuery optimization and performance tuningExecution plan analysis and indexing strategiesOracle, SQL Server, PostgreSQL, and DB2Middleware & Enterprise ApplicationsIBM WebSphere Application Server (WAS)Application deployment and configurationJVM, thread pool, and connection pool optimizationEnterprise application lifecycle managementMiddleware and integration platform managementMessaging TechnologiesIBM MQ / WebSphere MQMessage queue configuration and optimizationEnterprise messaging architectureXML, JSON, and REST API integrationsTransaction processing and payment messaging platformsDevOps & AutomationCI/CD tools such as Jenkins, GitHub, and GitLabShell scripting and Python automationRelease and deployment automationMonitoring and observability using Splunk, Dynatrace, or AppDynamicsProcess optimization and platform automationInfrastructure & PlatformsLinux/Unix environmentsKubernetes/OpenShiftCloud platforms such as AWS, Azure, or GCPDomain Expertise (Preferred)Banking and Payments systemsSWIFT and ISO 20022 messagingFinancial transaction processingEnterprise middleware and integration platformsIdeal Experience: 5–7 years for Data Engineer roles and 8–10+ years for Senior/Lead Data Engineer roles, particularly for candidates with experience across Data Engineering, SQL Development, WebSphere Application Server (WAS), IBM MQ, DevOps, Middleware Technologies, and Payment Systems. This site uses only strictly necessary cookies to perform basic functions. You may adjust the settings of your internet browser to reject or block all cookies or trackers, but doing so may affect how the website functions. This website is hosted by an external service provider and all cookies are controlled and configured by Citi. For detailed information please read our Citi Careers Cookie Policy.I have read the cookie notice