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GraphDB Developer

0 years

0 Lacs

Kochi Kerala India

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

developer data development aws gcp azure power analytics drive devops leadership architecture engineering design neo4j query etl orchestration monitoring optimization latency code automate github automation test security support documentation compliance database sql communication

Work Mode

On-site

Job Type

Full Time

Job Description

Senior Data Engineer

Job Responsibilities

  1. Lead the design and implementation of a scalable graph data architecture

    leveraging Neo4j, ensuring optimal query performance and alignment with business analytics needs within the first 90 days.

  2. Own the full lifecycle of data ingestion and ETL pipelines

    , including development, orchestration, monitoring, and optimization of data flows across multiple cloud environments, with measurable reduction in latency and improved data quality within 6 months.

  3. Deploy and maintain infrastructure using Terraform

    , supporting infrastructure-as-code best practices across AWS and GCP, ensuring automated, reproducible deployments and >99.9% system uptime.

  4. Automate CI/CD workflows using GitHub Actions

    , reducing manual operations by 50% within the first 6 months through effective automation of test, deploy, and monitoring pipelines.

  5. Collaborate with cross-functional engineering, data science, and security teams

    to integrate and support graph-based solutions in production with clear documentation, support structures, and knowledge sharing.

  6. Establish and enforce data security and access protocols

    , working with DevOps and InfoSec to ensure compliance with organizational standards by month 9.

Desired Qualifications

  • Demonstrated success designing and maintaining production-grade graph database systems (preferably Neo4j).
  • Strong command of

    Cypher, SQL, and Python

    for scalable data engineering solutions.
  • Hands-on experience with

    Terraform

    , including managing multi-cloud infrastructure.
  • Proven capability in building robust, reliable

    ETL pipelines

    and orchestrating workflows.
  • Experience with

    CI/CD tools

    like GitHub Actions in a production DevOps environment.
  • Strong communication skills, able to explain complex data concepts clearly across teams.
  • Ability to independently identify and implement performance optimizations in data systems.

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