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Senior, niche OpenSearch/Kafka role with metro locations and moderate brand yields moderate competition.
Core data platform skills transferable, but IoT preference increases domain specificity.
Explicit 8–12 years and mandatory OpenSearch, Kafka, and AWS experience create strict technical filters.
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Design and operate high-availability, large-scale real-time data pipelines using AWS MSK (Kafka) and Logstash.
Optimize OpenSearch (Elasticsearch) cluster design, sharding, index lifecycle management, and ensure performance tuning in RDBMS (PostgreSQL/MySQL).
Lead release management activities ensuring zero-error deployments for database and data pipelines; automate infrastructure deployment processes.
8-12 years of experience in data engineering or related backend development.
Strong experience with AWS cloud infrastructure, Kafka, OpenSearch cluster design and sharding optimization.
Deep understanding of RDBMS internals (PostgreSQL/MySQL) with SQL query tuning expertise.
Preferred notice period: 0-30 days; Bachelor's degree in Computer Science or equivalent.
Experienced in designing and scaling real-time data platforms handling large-scale IoT or device data streams.
Capable of collaborating technically with DevOps and backend teams on infrastructure optimization and data modeling.
Proficient in maintaining data stability to prevent loss and ensure consistency under failure scenarios; comfortable with global remote coordination.