Database team lead
EInfochips · Ahmedabad, India
FULL TIMEpermanent
Job Description
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 Io T 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 Open Search's index design, sharding, and lifecycle (ISM) management
Data Modeling and Partitioning: Table partitioning and data modeling in Postgre SQL/My SQL, 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 Open Search (Elasticsearch) cluster design and sharding optimization is essential.
Deep understanding of the internal structure of RDBMS (Postgre SQL/My SQL) and ability to tune complex queries
Preferred Qualifications
Seamless technical collaboration capabilities: Communication skills to discuss infrastructure optimization with Dev Ops 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
Io T 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 Ia C 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
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 Io T 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 Open Search's index design, sharding, and lifecycle (ISM) management
Data Modeling and Partitioning: Table partitioning and data modeling in Postgre SQL/My SQL, 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 Open Search (Elasticsearch) cluster design and sharding optimization is essential.
Deep understanding of the internal structure of RDBMS (Postgre SQL/My SQL) and ability to tune complex queries
Preferred Qualifications
Seamless technical collaboration capabilities: Communication skills to discuss infrastructure optimization with Dev Ops 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
Io T 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 Ia C 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
Details
| Company | EInfochips |
| Location | Ahmedabad, India |
| Type | FULL TIME |
| Niche | general |
| Experience | permanent |