Asia Group Functions Senior Data Engineer

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Hong Kong
Remote
Senior level
Fintech • Insurance • Financial Services
The Role
Design, develop, and maintain scalable ETL/ELT pipelines and data integration solutions using Azure Data Factory and Databricks. Build data models, schemas, dictionaries, and data architecture while integrating sources and ensuring data quality, governance, security, privacy, and compliance. Collaborate with data scientists, analysts, architects, governance teams, and business stakeholders. Optimize data processing, performance, capacity, and operational support while applying DevOps, CI/CD, Agile, and cloud best practices.
Summary Generated by Built In

The Opportunity As a Senior Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.

Asia Group Functions Senior Data Engineer

Position 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 consistency of data governance policies and processes to ensure data security, privacy, and compliance.

• Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.

• Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.

• Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.

Required Qualifications:

• 6 or more years of relevant industry experience as Data Engineer

• Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.

• Experience in automating data pipelines and familiarity with DevOps and CICD pipelines

• Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.

• Good knowledge of data warehousing concepts and relational data modeling

• Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)

• Excellent communication and interpersonal skills

• Excellent analytical, problem solving and solutioning skills

• A capacity for constant learning from both success and failure, remaining open to change and continuous improvement

• Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to and working understanding of collaboration tools like Teams, JIRA, Mural

• Experience in Data processing, performance analysis, tuning and capacity planning

• Familiarity with production release and operational support model

When you join our team:

  • We’ll empower you to learn and grow the career you want.

  • We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

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.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Working Arrangement

Hybrid

Skills Required

  • 6 or more years of relevant industry experience as a Data Engineer
  • Experience building and operationalizing cloud data pipelines on Microsoft Azure using Azure Data Factory and Azure Databricks
  • Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines
  • Working knowledge of Microsoft Azure services, SQL queries, ADLS Gen2, ADF, Databricks, Synapse, and SQL Server
  • Knowledge of data warehousing concepts and relational data modeling
  • Familiarity with Java, Scala, Python, SQL, and R programming
  • Excellent communication and interpersonal skills
  • Excellent analytical, problem-solving, and solutioning skills
  • Capacity for continuous learning, openness to change, and continuous improvement
  • Understanding of Agile Scrum methodologies and experience working in an Agile team
  • Experience with collaboration tools including Teams, JIRA, and Mural
  • Experience in data processing, performance analysis, tuning, and capacity planning
  • Familiarity with production release and operational support models

Manulife Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manulife and has not been reviewed or approved by Manulife.

  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, spanning medical, dental, prescription drugs, vision, critical illness, and short- and long-term disability. Mental-health support is emphasized via EAP-style services and high annual coverage limits in some regions, alongside wellness programs and navigation tools.
  • Retirement Support Retirement offerings are positioned as a meaningful part of total rewards, including group RRSP/defined contribution pension options and employer matching in some cases. Ownership-related programs such as share purchase/stock options are also described as available for eligible employees.
  • Flexible Benefits Benefits are described as robust and flexible, with customizable packages and spending-account style options in some plans. Digital tools (mobile app/claims) and reward-linked wellness programs are framed as making benefits easier to use and more engaging.

Manulife Insights

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The Company
HQ: Toronto, Ontario
32,427 Employees
Year Founded: 1887

What We Do

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit http://bit.ly/SM_Terms

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