Data Engineer

Manulife Financial; Quezon City; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Flexible work environment

Support for well-being and inclusion

Job summary

Manulife Financial is looking for a Data Engineer in Quezon City, Philippines. This role focuses on developing and maintaining scalable ETL pipelines and collaborating with skilled data professionals. Ideal candidates will have expertise in Azure Data services and a strong grasp of data integration techniques.

Success in this position entails improving operational efficiency and ensuring the quality of data. The organization values diversity and includes a supportive work environment for continuous learning.

Qualifications

• 4 or more years of relevant industry experience as a Data Engineer.
• Experience in building data pipelines in cloud MS Azure.
• Good working knowledge on MS Azure services including SQL Queries.
• Familiarity with programming in both compile languages and scripting languages.
• Understanding of Agile methodologies and experience in an Agile team.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Integrate data from various sources and ensure quality and consistency.
• Collaborate with data professionals to understand data requirements.
• Stay updated with the latest tools and technologies.

Skills

Data pipeline development

Azure Data Factory

Azure Databricks

DevOps

Data modeling

Python

SQL

Agile methodologies

Tools

Microsoft Azure

SQL Server

JIRA

Teams

Job description

Data Engineer at Manulife, you will play a critical role in the development and maintenance of the company's data systems and architecture. You will 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.

This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.

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

• 4or 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 modelling
• Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
• 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
• Amenable to work on a hybrid set-up (3x onsite per week)
• Amenable to work on a night shift schedule (with flexibility for mid shift depending on business need)

Preferred Qualifications

• 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
• 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 distributed team, we’ll support you in crafting the future you want to see!

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.

Working Arrangement

Hybrid