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
- Solid 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 capabilit

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