Job DescriptionRole: Data/DB Engineer Lead (AWS / 9+ years of experience)

NLocation: Ahmedabad, Pune

NYears of Experience: 9 to 15 yrs

NNotice: Looking for 0-30 Days Joiner

NIntroduction

nOur 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.

NKey Responsibilities

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- High-availability data pipeline design: AWS MSK (Kafka), end-to-end data streaming architecture design and operation using Logstash
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- Storage optimization and sharding strategies: Optimizing large-scale search performance through OpenSearch's index design, sharding, and lifecycle (ISM) management
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- Data Modeling and Partitioning: Table partitioning and data modeling in PostgreSQL/MySQL, architecture guide for efficient querying
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- Performance Tuning and Guidance: Leading SQL optimization across services and spreading technical best practices to backend development teams
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- 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.
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- Infrastructure automation: DB schema versioning (such as Flyway) and deployment process automation systems
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nRequirements

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- Over 7 years of experience in data engineering or related backend development




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- Extensive experience inoperating infrastructure handling large-scale traffic in AWS cloud environments
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- Strong capabilities in building real-time data pipelines and troubleshooting using Kafka
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- Experience in OpenSearch (Elasticsearch) cluster design and sharding optimization is essential.
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- Deep understanding of the internal structure of RDBMS (PostgreSQL/MySQL) and ability to tune complex queries
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nPreferred Qualifications

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- Seamless technical collaboration capabilities: Communication skills to discuss infrastructure optimization with DevOps engineers and provide efficient data modeling and query guides to backend developers
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- Global collaboration skills: Able to share technical documents with engineers across the globe and conduct work via video conferences during collaborative work sessions
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- IoT Domain Experience: Experience in handling large-scale device messages and building data pipelines
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- Ensuring data stability: Experience in designing logic to prevent data loss during failures and ensure consistency verification
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- Nice to have è IaC Proficiency: Nice to have Experience coding and automated operations of data infrastructure using Terraform, Ansible, and others
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- 4 years of bachelor's degree or higher in Computer Science or equivalent discipline
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nWhat We Offer:

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- Market-competitive salary
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- Work Life Balance
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- Professional Development
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- Creative Work Environment.
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- Recognition and Rewards
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