Retour à la recherche
G
GalentSource d’offres vérifiée

Neo4J Developer

Offre en anglaisExpiré

Design and develop scalable batch and streaming data pipelines using Neo4j and Google Spanner. Create high-performance data processing frameworks on GCP aligned with enterprise standards.

  • Télétravail
  • Canada
  • Publié 30 juill. 2026
  • 1 poste

Ce poste est expiré

Ce poste chez Galent n’accepte plus de candidatures. L’offre originale reste disponible ci-dessous à titre de référence.

Expiré le 7 août 2026

Postes actuels chez Galent

Ces possibilités vérifiées acceptent toujours des candidatures.

Offre d’emploi originale

Role : Neo4J Developer Location : Canada (100% Remote) We're looking for a Neo4j Developer to join our growing team and play a key role in designing and delivering modern data solutions. What You'll Do: Design and develop scalable batch and streaming data pipelines Build enterprise data solutions using Neo4j and Google Spanner Develop high-performance data processing frameworks on Google Cloud Platform (GCP) Work with cross-functional teams to translate business requirements into technical solutions Create reusable, reliable, and scalable data architectures aligned with enterprise standards. Required Skills: 7+ years of IT/Data Engineering experience Hands-on experience with Neo4j (Graph Database) Strong expertise in GCP (Dataflow, BigQuery) Python & PySpark development experience Apache Airflow, Apache Beam Hadoop, Spark & Elasticsearch SQL, NoSQL & Data Modeling AWS/GCP Cloud experience and enterprise data architecture knowledge Nice to Have: Experience in the Mortgage, Real Estate, or Insurance domain. Exposure to AI development frameworks and modern data engineering practices. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

Ce que vous ferez

Design and develop scalable batch and streaming data pipelines using Neo4j and Google Spanner. Create high-performance data processing frameworks on GCP aligned with enterprise standards.

Exigences

Requires over 7 years of IT/Data Engineering experience with strong expertise in Neo4j and GCP tools. Proficiency in Python, PySpark, and various big data frameworks is essential.

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Neo4j
  • Google Cloud Platform
  • Python
  • PySpark
  • Apache Airflow
  • Apache Beam
  • Hadoop
  • Spark
  • Elasticsearch
  • SQL
  • NoSQL
  • Data Modeling
  • Google Spanner
  • Dataflow
  • BigQuery
  • Enterprise Data Architecture

Domaines d’emploi

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Consulting

Renseignements supplémentaires

Expérience minimale
5+ ans
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Mid-Senior level
Mode de candidature
La candidature directe est offerte