全职 Technical Manager- Data Project Manager (Lead Data engineer) 工作, 薪水, Unison Group 公司招聘中 - Ricebowl

• Lead and manage large-scale Data Engineering and Data Modernization projects.
• Drive end-to-end delivery of Data Lake build and migration initiatives.
• Lead PySpark migration and optimization projects, ensuring performance and scalability.
• Design and implement modern data architectures, including Data Lakes, Data Warehouses, and Lakehouse solutions.
• Collaborate with business stakeholders, architects, and engineering teams to define data strategies and roadmaps.
• Provide technical leadership and mentorship to Data Engineers and Developers.
• Ensure best practices around:
• • Data governance
  • Data quality
  • Security and compliance
  • Performance optimization
• Lead data platform modernization initiatives across cloud environments.
• Review solution designs, architecture documents, and implementation approaches.
• Manage project planning, resource allocation, risks, and delivery timelines.
• Drive Agile delivery and ensure successful project execution.

• 8+ years of experience in Data Engineering and Data Platform delivery.
• Minimum 3+ years of experience in a Technical Manager or Lead role.
• Proven experience in delivering:
• • Data Lake implementation projects
  • Data Lake migration programs
  • PySpark migration projects
  • Large-scale data transformation initiatives

Technical Skills

• Strong expertise in:
• • Python
  • PySpark
  • Spark SQL
  • SQL
  • ETL/ELT frameworks
• Experience with:
• • Hadoop ecosystem
  • Data Lakes and Lakehouse architectures
  • Distributed data processing frameworks
• Strong understanding of:
• • Data modeling
  • Data integration patterns
  • Batch and real-time processing
• Experience with cloud platforms such as:
• • AWS
  • Azure
  • GCP
• Hands-on experience with:
• • Data migration strategies
  • Performance tuning and optimisation
  • CI/CD and DevOps practices for data platforms

Must Have
1. Hands-on experience in managing Data projects end-to-end — effort estimation, scoping, project plan, timelines, team allocation, stakeholder management
2. Hands-on experience with modern Data technologies like PySpark, SQL, CML, Python on any cloud; preferred GCP
3. Transform business requirements into Data solutions, manage risks, issues and dependencies

Good To Have
Preferred Cloud GCP