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Tier-1 brand, generic Data Engineer title, metro location, and broad cloud/tech requirements increase applicant competition.
Core data engineering skills transfer across industries, though payments and banking risk controls add moderate domain bias.
Requires domain expertise, leadership responsibilities, cloud and performance skills within regulated banking controls, so strict screening.
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Build and maintain data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Lead and supervise a team responsible for delivering high-performance and reliable payment systems within Merchant Services, focusing on system stability, throughput, and efficiency improvements.
Collaborate with stakeholders and technology teams to identify performance bottlenecks, lead performance engineering initiatives, and ensure compliance with performance standards and risk controls.
In-depth technical knowledge in data engineering including data pipelines, warehousing, and analysis algorithms.
Experience leading and supervising a team, allocating work, and guiding professional development.
Proficiency with Microservices, container architectures, Oracle and SQL Server databases, AWS and Azure cloud environments, and CI/CD tools like Jenkins and Git.
Location requirement: Chennai, India. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building scalable, resilient data architectures and leading operational teams within payment or merchant services domains.
Strong technical expertise in cloud performance testing, database tuning (AWR analysis), and microservices deployment in containerized environments.
Ability to drive performance improvements end-to-end by collaborating across cross-functional teams and integrating risk and control frameworks into delivery processes.