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/Data/Database 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 effective 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 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
- 4 years of bachelors degree or higher in Computer Science or equivalent discipline

📌 eInfochips - Data/Database Engineer (India)
🏢 Einfochips
📍 India