Senior Data Engineer - Cloud Data Pipelines (Azure)

Manulife; Hong Kong; Hybrid; HKD 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Manulife is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures in a cloud-native environment. You will collaborate with data scientists, analysts and governance teams to extract, transform, and load data from diverse sources into Manulife's data warehouse.

You will work with Azure Data Factory, Azure Databricks, and related services to ensure data quality, security, and compliance while applying DevOps, CI/CD and Agile practices in a Hybrid

Qualifications

• 6+ years of data engineering experience.
• Experience building data pipelines on MS Azure.
• Experience with CI/CD and DevOps.
• Strong SQL and programming in Python/Java/Scala.
• Knowledge of data warehousing concepts and modeling.
• Familiarity with data governance and security practices.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Azure.
• Develop and maintain data architectures, schemas, and dictionaries.
• Integrate data from diverse sources for analytics and operations.
• Ensure data quality, security, privacy, and governance compliance.
• Collaborate with data scientists, analysts, and business teams.
• Stay updated with new tools to enhance data infrastructure.
• Learn and apply big data and cloud best practices for scalability.

Skills

Data pipelines

SQL

Python

Java

Scala

Communication

Agile

DevOps

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

ADLS Gen2

SQL Server

Job description

Manulife is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures in a cloud-native environment. You will collaborate with data scientists, analysts and governance teams to extract, transform, and load data from diverse sources into Manulife's data warehouse.

You will work with Azure Data Factory, Azure Databricks, and related services to ensure data quality, security, and compliance while applying DevOps, CI/CD and Agile practices in a Hybrid