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Mphasis Linkedin · Posted 1mo ago

Senior Data Engineering

Taipei

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Indexed description

We are looking for a skilled Data Engineer to build and maintain scalable data platforms and pipelines that support analytics, operational systems, and AI-driven applications.

You will work closely with cross-functional teams to design reliable data solutions and optimize data workflows in cloud environments.

Responsibilities-

  • Build and maintain ETL/ELT data pipelines
  • Develop scalable data models and integration workflows
  • Write and optimize SQL queries
  • Design and maintain Neo4j graph database solutions using Cypher
  • Monitor and improve data quality and pipeline performance
  • Support cloud-based data infrastructure and automation

Requirements -

  • 3+ years of Data Engineering experience
  • Strong Python programming skills
  • Strong SQL and data modeling experience
  • Hands-on experience with Neo4j and Cypher
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with ETL pipelines and REST APIs
  • Experience with Git and CI/CD workflows

Nice to Have -

  • Experience with Airflow, Docker
  • Knowledge of AI/LLM or knowledge graph applications
  • Experience with data warehouse and analytics platforms
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