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Lead Data Engineer - Asia Group Functions

manulife · Hong Kong SAR China

New
Hybrid Senior 🇬🇧 English
Azure Data Factory Databricks Python PySpark Java Scala Azure Synapse Power BI Unity Catalog GitHub Jenkins

Job description

About the role

Manulife is replacing and building new data capabilities to become a digital customer leader, and is looking for a Lead Data Engineer for its Asia Group Functions team. The role leads a data engineering team, designs and optimizes data pipelines and ETL processes, and works with data architects, analysts and business partners.

Key responsibilities

  • Mentor and coach data engineers, keeping the team on schedule and delivering high-quality solutions
  • Design, develop and manage data pipelines for extraction, transformation and loading from diverse sources
  • Design data schemas and collaborate with multi-functional teams on data mapping and integration
  • Optimize ETL processes and implement data cleansing, enrichment and transformation
  • Design testing plans, data quality checks and validation rules
  • Work with data architects on end-to-end data architecture and with technical resources on infrastructure improvements
  • Document pipelines, processes and configurations, monitor pipeline performance and ensure compliance with data privacy and compliance standards

Required profile

  • Bachelor's degree in computer science, information technology or a related field; master's degree is a plus
  • 10+ years of experience as a Data Engineer, with a track record of implementing and maintaining data pipelines, scheduling, monitoring, notification and ETL processes
  • Understanding of Azure infrastructure, including RBAC, Azure AD, VNet, NSG rules, private endpoints and credential/key management
  • Experience deploying Azure Data Factory and Databricks with DevOps tools such as GitHub and Jenkins CI/CD pipelines
  • Knowledge of Azure Data Lake Storage Gen2 and data mart fact/dimension design, ETL/ELT logic and Lakehouse architecture

Required skills

  • Azure Data Factory, Databricks, Python, PySpark, Java, Scala
  • Azure Data Lake Storage Gen2, Azure Synapse SQL pool
  • Preferred: LLM and AI tools, Unity Catalog, Power BI, data privacy and compliance knowledge

The position is hybrid. Manulife describes itself as an international financial services provider and states it is an equal opportunity employer.

Questions fréquentes

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Source : ats:workday

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Published 12 hours ago

Expires 1 month from now

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manulife

Hong Kong SAR China