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Manulife Financial

Global financial services: insurance and investments

Data Engineer / Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 4 years of relevant industry experience as a data engineer.
  • Experience building and operationalizing data pipelines in Microsoft Azure using Azure Data Factory and Azure Databricks.
  • Experience automating data pipelines and familiarity with DevOps and continuous integration/continuous delivery (CI/CD) pipelines.
  • Working knowledge of Microsoft Azure services, including SQL queries, Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Synapse, and SQL Server, to design a data ecosystem.
  • Knowledge of data warehousing concepts and relational data modeling.
  • Familiarity with programming in compiled languages such as Java and Scala, and scripting languages such as Python, SQL, and R.
  • Understanding of Agile Scrum methodologies and experience working in an Agile team, with exposure to collaboration tools such as Teams, Jira, and Mural.
  • Experience in data processing, performance analysis, tuning, and capacity planning.
  • Amenable to a hybrid setup with three on-site days per week.
  • Amenable to a night-shift schedule, with flexibility for a mid-shift depending on business need.

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, ensure data quality and consistency, and prepare data for analytical and operational use.
  • Follow data governance policies and processes to ensure data security, privacy, and compliance.
  • Collaborate with data scientists, analysts, business team members, and other data professionals to understand data requirements and develop solutions.
  • Stay up to date with tools and technologies and identify opportunities to enhance the company's data infrastructure.
  • Learn and implement big data and cloud computing best practices to ensure solutions are scalable, efficient, and effective.

Desired Qualifications

  • Familiarity with production release and operational support models.

About the Company

Manulife Financial

Global financial services: insurance and investments

Manulife Financial is a global financial services provider offering a wide range of insurance and investment solutions. It serves individuals, businesses, and institutions with products such as life and health insurance, wealth management, and retirement plans. Customers fund these products through premiums, fees for asset management, and investment income earned on invested assets. Manulife uses analytics and technology to tailor services and improve efficiency, aiming to help clients protect their finances, grow their wealth, and plan for retirement. The company differentiates itself through its large international presence in North America, Asia, and Europe, its breadth of products, and its emphasis on data-driven insights to personalize offerings. Its goal is to help customers achieve their financial goals and aspirations by providing comprehensive, paid-for financial solutions and ongoing support across multiple regions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1887

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