Data Engineer

Minimum 2 years of experience in Data Engineering, Data Warehousing, ETL/ELT development, or related data-focused roles.

Strong hands-on experience with Microsoft Azure Data Platform technologies (Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure SQL Database)

Strong experience designing, developing, and supporting enterprise-scale data pipelines and data integration solutions.

Proficiency in SQL, Python, and PySpark for data engineering, data transformation, troubleshooting, and automation.

Experience building and supporting ETL/ELT processes, data warehouses, and analytical data environments.

Experience with GitHub, Azure DevOps, Jenkins, or similar CI/CD and DevOps tools.

Design, develop, and maintain batch and real-time data pipelines using Microsoft Azure Data & Analytics services, including Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL.

Build, optimize, and support scalable data ingestion, transformation, curation, and delivery processes across enterprise data platforms.

Design and develop ETL/ELT processes using Azure Data Factory, Databricks, PySpark, SQL, Python, and related data engineering technologies.

Develop and maintain modern data architectures, data warehouses, data marts, and relational/non-relational databases supporting reporting, analytics, and data science initiatives.

Design, build, and maintain data services, APIs, and reusable datasets for business and technology consumers.

Translate business requirements into scalable technical solutions while collaborating with business users, architects, developers, and business analysts.

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit

https://www.manulife.com/en/about/our-story.html

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