Job Description
Role: Data/DB Engineer Lead (AWS / 5+ years of experience) Location: Ahmedabad, Pune Years of Experience: 9 to 15 yrs Notice: Looking for 0-30 Days Joiner Introduction Our team builds a data platform that reliably collects, processes, and retrieves large-scale IoT data based on AWS. We are seeking a senior engineer who can work on unobstructed flow even among billions of data records, push data storage performance to the limit, and technically efficiently manage service growth. Key Responsibilities High-availability data pipeline design: AWS MSK (Kafka), end-to-end data streaming architecture design and operation using Logstash Storage optimization and sharding strategies: Optimizing large-scale search performance through OpenSearch's index design, sharding, and lifecycle (ISM) management Data Modeling and Partitioning: Table partitioning and data modeling in PostgreSQL/MySQL, architecture guide for productive querying Performance Tuning and Guidance:



Perform SQL optimization across services and spreading technical best practices to backend development teams Release Management: Review deployment details and validate details before deployment to ensure zero-error deployments without roll back needs. Infrastructure automation: DB schema versioning (such as Flyway) and deployment process automation systems Requirements Over 5 years of experience in data engineering or related backend development Extensive experience in operating infrastructure handling large-scale traffic in AWS cloud environments Strong capabilities in building real-time data pipelines and troubleshooting using Kafka Experience in OpenSearch (Elasticsearch) Deep understanding of the internal structure of RDBMS (PostgreSQL/MySQL) and ability to tune complex queries Preferred Qualifications Seamless technical collaboration capabilities: Communication skills to discuss infrastructure optimization with DevOps engineers and provide efficient data modeling and query guides to backend develope

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