Senior Data Engineer - Azure ETL & Cloud Data Ops (Hybrid)

Manulife; Philippines; Hybrid; PHP 1,000,000 - 1,800,000; Full time

Job summary

Manulife Data Engineering team in the Philippines is seeking a Data Engineer / Senior Data Engineer to design, build, and maintain scalable data pipelines and data architectures. You will collaborate with data professionals to extract, transform, and load data from diverse sources into Manulife's data warehouse.

The role emphasizes automation, modernization, and adherence to governance, privacy, and compliance while working in a hybrid environment and supporting enterprise data initiatives.

Qualifications

• 4+ years of experience as a Data Engineer.
• Experience with Azure Data Factory and Azure Databricks.
• Automating data pipelines and CI/CD familiarity.
• Knowledge of MS Azure data services and data warehousing.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
• Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
• Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
• Follow data governance policies to ensure data security, privacy, and compliance.
• Collaborate with data scientists, analysts, and business teams to meet data requirements.

Skills

Data pipelines

SQL

Python

Java/Scala

Azure cloud

Tools

Azure Data Factory

Azure Databricks

ADLS Gen2

Synapse

Job description

Manulife Data Engineering team in the Philippines is seeking a Data Engineer / Senior Data Engineer to design, build, and maintain scalable data pipelines and data architectures. You will collaborate with data professionals to extract, transform, and load data from diverse sources into Manulife's data warehouse.

The role emphasizes automation, modernization, and adherence to governance, privacy, and compliance while working in a hybrid environment and supporting enterprise data initiatives.