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Tier-1 brand, generalist Data Engineer title, and metro location drive high applicant competition.
Core data engineering skills are transferable, but payments and banking risk/control context raise domain specificity.
Banking regulatory context plus specific cloud, database, CI/CD and leadership requirements increase strictness.
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Build and maintain data pipelines, data warehouses, and data lakes ensuring data accuracy, security, and accessibility.
Lead performance engineering initiatives focusing on system stability, throughput, efficiency, particularly within payment systems in the Merchant Services domain.
Collaborate cross-functionally with BAs, SAs, engineering teams, and stakeholders to deliver high-performing solutions and embed performance considerations throughout the software lifecycle.
In-depth technical knowledge and experience in data engineering and related systems.
Experience leading and supervising a team, including workload allocation and professional development.
Experience with Microservices, containerized architectures, Oracle and SQL Server databases, CI/CD tools (e.g., Jenkins, Git), and cloud platforms (AWS and Azure).
Work Experience Required: Not explicitly mentioned in the JD. Location: Chennai, India.
Proven ability to lead and influence teams with strong technical expertise in data architecture and performance engineering.
Experience working in agile environments delivering scalable and resilient payment or transaction systems.
Familiarity with risk and controls, change management, business acumen, and digital technology integration relevant to data engineering.