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 designIdentify, design and implement process improvements & delivery optimizationsCollaborate with Stakeholders, Business Analysts and Data Architects to assist and translate business requirements to technical solutionsDevelop big data and analytic solutions leveraging new or existing technology to advance Manulife’s all lines of businessExploratory data analysis; Query and process on-premise or cloud-based data, provide reports, summarize and visualize the dataDesign, upgrade and implement new data workflows, automation, tools and API integrations.Perform POC on new integration patterns and solutions.Write and maintain technical documentationPerform unit tests and system integration testsExecutes updates, patches, and other activities required to maintain and enhance the operations of on-premise or cloud-based environmentsSupports the Agile delivery squads when requiredWe are looking for someone with:
At least 2 years experience as Data Engineer with focus on big data processing and/or relational databasesAt least 2 years experience working with Microsoft Azure Data Platform, specifically Azure Data Lake, Azure Data Factory, Azure DatabricksExperienced in any of the following programming/scripting languages (SQL, Python, Shell, Scala)Experienced in creating data pipelines & developing complex and optimized queriesExperienced with working on Structured, Semi-Structured, Unstructured datasetsKnowledgeable with any of the Big Data tools and technologies: Hadoop, Spark, Hive, Sqoop, Kafka, NifiKnowledgeable with relational SQL and NoSQL databases: MSSQL, Postgres, HBase (MongoDB is a plus)Experienced with Workflow Management Tools: Airflow, Crontab, CA Workload AutomationKnowledgeable with CI/CD toolsKnowledgeable or at least have the basic concept of Data Visualization in any of the following tools: Tableau, PowerBI, QlikView/QlikSenseKnowledgeable in using collaboration tools (eg. MS Teams/Skype, Confluence, JIRA)Experience with any SLDC Methodologies and familiarity with different Agile methodologiesDemonstrates 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 resultsGood Communication and presentation skillsAnalytical, structured, organized, and proactiveStakeholder and project management is a plusWhen 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 recruitment@manulife.com.
Working Arrangement
Hybrid