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Tier-1 brand, general Data Engineer title, and metro Pune location increase applicant competition.
Strong banking, payments, SWIFT, WAS, and IBM MQ requirements make cross-industry transferability low.
Explicit years bands, mandatory SQL/middleware/payment skills, and domain expertise create strict shortlisting filters.
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Design and develop scalable data engineering solutions with a focus on ETL/ELT, data pipelines, and data warehousing for banking and financial services.
Manage and optimize databases (Oracle, SQL Server, PostgreSQL, DB2) and middleware platforms including IBM WebSphere Application Server and IBM MQ for high performance and reliability.
Lead platform automation, DevOps practices, and enterprise application deployments collaborating across development, infrastructure, and business teams.
5–7 years experience for Data Engineer role; 8–10+ years for Senior/Lead Data Engineer with expertise in Data Engineering, SQL, WebSphere Application Server (WAS), IBM MQ, and payment systems.
Strong skills in SQL development, database optimization, middleware management, and DevOps tools (Jenkins, GitHub/GitLab, Shell scripting, Python).
Experience working with banking, payments, or financial services domains preferred, including knowledge of SWIFT and ISO 20022 messaging.
Not explicitly mentioned: mandatory degree, notice period, or explicit onsite/location requirements.
Experienced in complex, enterprise-scale data engineering within banking or payments sectors involving middleware and messaging systems.
Proven ability to manage end-to-end data pipeline design and optimization, and application lifecycle management on IBM WAS and related middleware.
Skilled in DevOps automation and infrastructure platforms like Kubernetes/OpenShift and cloud environments (AWS, Azure, GCP).