Role: Data/DB Engineer Lead (AWS / 9+ 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 Lead/Senior engineer who can design unobstructed flow even among billions of data records, push data storage performance to the limit, and technically lead 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 effective querying
Performance Tuning and Guidance: Leading SQL optimization across services and spreading technical best practices to backend development teams
Release Management:



Be the gatekeeper during key database / data pipeline release activities, create review checklist, review deployment details and validates 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 7 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) cluster design and sharding optimization is essential.
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

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