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Tier-1 brand and metro context increase competition, while niche payments and middleware skills moderate it.
Strong banking, payments, and middleware specialization limits cross-industry transferability.
Explicit senior experience plus mandatory middleware, payments, and advanced SQL skills create strict filters.
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Design and develop scalable data engineering solutions focusing on data pipelines, ETL/ELT, and data integration in banking and payments domains.
Manage and optimize databases (Oracle, SQL Server, PostgreSQL, DB2) and middleware platforms including IBM WebSphere Application Server and IBM MQ for high availability and performance.
Collaborate with cross-functional teams to drive platform automation, DevOps practices, and strategic technology modernization initiatives involving enterprise applications and payment systems.
5–7 years experience for Data Engineer roles or 8–10+ years for Senior/Lead Data Engineer roles in relevant technologies.
Strong expertise in Data Engineering, advanced SQL development, and middleware technologies including IBM WebSphere Application Server and IBM MQ.
Experience working within Banking, Payments, or Financial Services domains is mandatory.
Work Experience Required: 5–7+ years as Data Engineer or 8–10+ years for Senior roles (explicitly stated).
Experienced in enterprise-scale banking/payment systems with deep knowledge of SWIFT, ISO 20022 messaging, and transaction processing platforms.
Hands-on expertise in middleware lifecycle management, performance tuning, and DevOps automation within Linux/Unix and cloud environments (AWS, Azure, GCP).
Ability to lead cross-functional teams in complex integration and platform transformation projects, ensuring high reliability and operational excellence.