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Role Overview
The Lead – Data Plaƞ orm & Engineering is responsible for scaling and optimizing data
plaƞ orms, backend systems, and reporting solutions to support high-volume transaction
processing. The role focuses on performance engineering, system reliability, automation, and
ensuring regulatory compliance through robust and scalable data frameworks.
Experience : 6+Yrs
Primary Skills : .Net, Golang
Key Responsibilities
Restructure and scale data plaƞ orms for high-volume transaction processing,
ensuring high throughput and system stability
Scale API and backend service capacity to support higher concurrent user loads,
improving response time for transaction processing (e.g., UCC & Order flows)
Build and enhance web portals to handle increased concurrency and faster reporting,
improving performance under peak transaction volumes
Improve data processing throughput through pipeline optimization and system
tuning
Optimize SQL queries using index-driven approaches, significantly reducing execute on
time
Design high-performance database schemas, improving query efficiency and
scalability
Build automated ETL frameworks (Excel/CSV → structured datasets), reducing
manual effort and improving data quality
Deliver audit-ready datasets with 100% traceability, enabling seamless compliance
audits
Lead large-scale data migration initatives, ensuring zero data loss and minimal
reconciliation variance
Interested and eligible canddiates can share their CV's to [Confidential Information] along with below details :
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Job ID: 149058941
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