7 days ago
Quezon City, PhilippinesSenior
Responsibilities
- Design, develop, and support data pipelines and integrations across multiple source systems.
- Build ETL/ELT solutions using Azure Data Factory, Databricks, Synapse, Spark, Python, and SQL.
- Develop and maintain data ingestion, transformation, and data quality processes.
- Conduct proof-of-concepts for new technologies and integration patterns.
- Monitor pipelines and platform performance, troubleshoot issues, and optimize processing efficiency.
- Maintain and support the Enterprise Data Lake to ensure stability and reliability.
- Investigate and resolve production incidents and support change requests.
- Develop technical documentation and operational support materials.
- Perform unit testing, system integration testing, and deployment validation.
- Collaborate with business, technology, and data teams across Asia and Canada.
- Support business-aligned data products with reusable, well-defined datasets suitable for analytics and reporting.
- Participate in Agile delivery ceremonies and support end-to-end project delivery.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
- 5–7 years of experience in Data Engineering, Software Engineering, Platform Engineering, or related technical roles.
- Strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Spark/PySpark, Python, SQL, and Event Hubs.
- Experience with database development and management, including technologies such as Azure SQL and Cosmos DB.
- Experience building and supporting cloud-based data solutions and enterprise data platforms.
- Experience with Change Data Capture technologies such as Debezium and data integration solutions.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience working in Agile delivery teams.
- Excellent written and spoken English, with the ability to communicate effectively with stakeholders across Canada and Asia.
- Preferred experience in financial services, wealth management, insurance, or asset management.
- Preferred knowledge of data governance, metadata management, data quality practices, data products, data domains, reusable data assets, data ownership, data contracts, and business-facing data consumption.
- Preferred experience with AI, Business Intelligence, and/or Generative AI solutions.
Benefits
- Hybrid working arrangement.
- Equal opportunity and inclusive employment environment with reasonable accommodation support.
Tech Stack
Categories
Data Engineering
About Manulife
Manulife is a Toronto‑headquartered public financial services company that provides life and health insurance, retirement plans, and wealth and asset management to individuals and institutions. It earns premiums and fee income from insurance, investment, and advisory products delivered across Canada, Asia, and Europe, and operates as John Hancock in the United States. Founded in 1887, the company is listed on the Toronto Stock Exchange.