Asia Group Functions Senior Data Engineer

Manulife; Hong Kong; Hybrid; HKD 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Manulife is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures in a cloud-native environment. You will collaborate with data scientists, analysts and governance teams to extract, transform, and load data from diverse sources into Manulife's data warehouse.

You will work with Azure Data Factory, Azure Databricks, and related services to ensure data quality, security, and compliance while applying DevOps, CI/CD and Agile practices in a Hybrid

Qualifications

• 6+ years of data engineering experience.
• Experience building data pipelines on MS Azure.
• Experience with CI/CD and DevOps.
• Strong SQL and programming in Python/Java/Scala.
• Knowledge of data warehousing concepts and modeling.
• Familiarity with data governance and security practices.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Azure.
• Develop and maintain data architectures, schemas, and dictionaries.
• Integrate data from diverse sources for analytics and operations.
• Ensure data quality, security, privacy, and governance compliance.
• Collaborate with data scientists, analysts, and business teams.
• Stay updated with new tools to enhance data infrastructure.
• Learn and apply big data and cloud best practices for scalability.

Skills

Data pipelines

SQL

Python

Java

Scala

Communication

Agile

DevOps

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

ADLS Gen2

SQL Server

Job description

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.

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 [e-mail].

Working Arrangement

Hybrid