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Senior role with niche OpenSearch/Kafka expertise and no remote or high-profile brand increases selectivity, lowering competition.
Specialized data-platform and streaming experience required makes the role moderately sensitive to domain-specific backgrounds.
Explicit 8–12 years plus mandatory OpenSearch, Kafka, AWS and DB tuning requirements enforce strict candidate filtering.
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Design and operate high-availability, large-scale IoT data pipelines using AWS MSK (Kafka) and Logstash.
Optimize OpenSearch cluster performance through index design, sharding, and lifecycle management.
Lead SQL performance tuning, release management, and infrastructure automation including DB schema versioning for zero-error deployments.
8-12 years of experience in data engineering or related backend development.
Strong experience with AWS cloud infrastructure handling large-scale traffic.
Proficient in Kafka for real-time data pipelines and troubleshooting.
Experience in OpenSearch (Elasticsearch) cluster design and sharding optimization; deep knowledge of RDBMS (PostgreSQL/MySQL) query tuning.
Experienced in designing data platforms for large-scale IoT data ingestion and processing.
Capable of collaborating technically with DevOps and backend teams across global locations.
Skilled in ensuring data stability with failure prevention and consistency verification mechanisms.