Data Engineer

The Opportunity

Manulife’s Digital Operations is seeking for an experienced Data Engineer to join our team to provide data-driven solutions and support Manulife/John Hancock business units. We are looking for the right individual who would be interested to propose and develop data solutions, has strong willingness to learn through team collaboration, desire to drive and execute on our data strategy, willing to help mature our agile practices, and is looking for an opportunity to embrace technical challenges and be part of a self-organizing team.

On the job you will:

• Design & implement Data Integration/Ingestion/Extraction solutions based on high level architecture design
• Identify, design and implement process improvements & delivery optimizations
• Collaborate with Stakeholders, Business Analysts and Data Architects to assist and translate business requirements to technical solutions
• Develop big data and analytic solutions leveraging new or existing technology to advance Manulife’s all lines of business
• Exploratory data analysis; Query and process on-premise or cloud-based data, provide reports, summarize and visualize the data
• Design, upgrade and implement new data workflows, automation, tools and API integrations.
• Perform POC on new integration patterns and solutions.
• Write and maintain technical documentation
• Perform unit tests and system integration tests
• Executes updates, patches, and other activities required to maintain and enhance the operations of on-premise or cloud-based environments
• Supports the Agile delivery squads when required

We are looking for someone with:

• At least 2 years experience as Data Engineer with focus on big data processing and/or relational databases
• At least 2 years experience working with Microsoft Azure Data Platform, specifically Azure Data Lake, Azure Data Factory, Azure Databricks
• Experienced in any of the following programming/scripting languages (SQL, Python, Shell, Scala)
• Experienced in creating data pipelines & developing complex and optimized queries
• Experienced with working on Structured, Semi-Structured, Unstructured datasets
• Knowledgeable with any of the Big Data tools and technologies: Hadoop, Spark, Hive, Sqoop, Kafka, Nifi
• Knowledgeable with relational SQL and NoSQL databases: MSSQL, Postgres, HBase (MongoDB is a plus)
• Experienced with Workflow Management Tools: Airflow, Crontab, CA Workload Automation
• Knowledgeable with CI/CD tools
• Knowledgeable or at least have the basic concept of Data Visualization in any of the following tools: Tableau, PowerBI, QlikView/QlikSense
• Knowledgeable in using collaboration tools (eg. MS Teams/Skype, Confluence, JIRA)
• Experience with any SLDC Methodologies and familiarity with different Agile methodologies
• Demonstrates a commitment to delivering excellent service, balanced with appropriate risk management.
• Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
• Good Communication and presentation skills
• Analytical, structured, organized, and proactive
• Stakeholder and project management is a plus

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].

Hybrid