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 efficient 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 discuss infrastructure optimization with DevOps engineers and provide effective data modeling and query guides to backend developers Global collaboration skills:

Able to

share technical documents with engineers across the globe and conduct work via video conferences during collaborative work sessions IoT Domain Experience:

Experience in

handling large-scale device messages and building data pipelines Ensuring data stability:

Experience in designing logic to prevent data loss during failures and ensure consistency verification Nice to have è IaC Proficiency:

Nice to have Experience coding and automated operations of data infrastructure using Terraform, Ansible, and others 4 years of bachelor’s degree or higher in Computer Science or equivalent discipline

What We Offer: Competitive Salary Work Life Balance Professional Development Innovative Work Environment. Recognition and Rewards

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