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Tier-1 brand, metro location, and generalist database/data-engineer title increase competitive density.
Specialized database architecture, cloud-managed DBs, and operational expectations moderately limit cross-industry fit.
Explicit 8–10 years plus deep database, cloud, and reliability requirements imply strict filtering.
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Own end-to-end database design, development, and operational support ensuring performance, reliability, and security of mission-critical data platforms.
Design scalable data models and implement backup, recovery, and disaster recovery strategies in high-scale, cloud-native environments.
Lead database standards, best practices, mentoring junior engineers, and collaborate with cross-functional teams including US-based engineers.
Bachelor’s degree or equivalent experience with 8–10 years relevant experience; or Master’s degree with 7–8 years relevant experience.
Strong expertise in major RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (DynamoDB, MongoDB, Cassandra).
Hands-on experience with AWS-managed databases such as RDS, Aurora, DynamoDB, Redshift.
Experience with performance tuning, indexing, query optimization, and designing high-availability and disaster recovery solutions.
Experienced lead-level database engineer comfortable owning complex database architecture and operational excellence under cloud-native and microservices environments.
Skilled in automating database lifecycle management using Infrastructure-as-Code and DevOps pipelines.
Able to work cross-geography with US teams, mentor juniors, and drive organizational best practices in database engineering.