Lead Data Engineer

Manulife

Not Interested
Bookmark
Report This Job

profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Manulife is embarking on replacing and building new data capabilities to help fuel our bold ambition to become a digital customer leader! We are seeking a skilled and motivated Lead Data Engineer to join our diverse team and play a key role in implementing optimizing and maintaining assets that deliver these capabilities! The ideal candidate possesses a solid background in data engineering ETL processes and data integration with a passion for understanding data to drive strategic business decisions.


Position Responsibilities:

  • Data Pipeline Development: Design develop and manage data pipelines that facilitate the detailed extraction transformation and loading of data from diverse sources.
  • Data Mapping & Integration: Collaborate closely with multi-functional teams to understand and design schemas for data from various source systems and other transactional or application databases ensuring accuracy and reliability.
  • ETL Optimization: Continuously improve and optimize ETL processes to enhance data flow efficiency minimize latency and support real-time and batch processing requirements.
  • Data Transformation: Implement data cleansing enrichment and transformation processes to ensure high-quality data is available for analysis and reporting.
  • Data Quality Assurance: Design testing plans develop and implement data quality checks validation rules and supervising mechanisms to maintain data accuracy and integrity.
  • Platform Improvement: Collaborate with various technical resources from across the organization to identify and implement improvements to the infrastructure integrations and functionalities.
  • Data Architecture: Work closely with business leads and data architects to design implement and lead end-to-end architecture based on business requirements.
  • User Documentation: Develop and maintain detailed documentation for data pipelines processes and configurations to support seamless onboarding.
  • Teamwork: Partner with other data engineers data analysts business collaborators and data scientists to understand data requirements and translate them into effective data engineering solutions.
  • Performance Monitoring: Monitor data pipeline performance and solve issues to ensure efficient data flow and proactively find opportunities for improvement.
  • Data Governance and Compliance: Ensure consistency with data privacy and compliance standards throughout the data lifecycle.


Required Qualifications:

  • Bachelors Degree in Computer Science Information Technology or a related field. Masters degree is a plus.
  • 12 years of experience as a Data Engineer with a track record of efficiently implementing and maintaining data pipelines scheduling monitoring notification and ETL processes using Azure Data Factory Databricks PythonPyspark Java Scala.
  • Understanding of Azure infrastructure; subscriptions resource groups resources access control with RBAC (role-based access control) integrations with Azure AD and Azure security principles (user group service principal managed identity) network concepts (VNet Subnet NSG rules private endpoints) passwordcredentialkey management and data protection.
  • Experience deploying and integrating Azure Data Services (ADF Databricks) using DevOps tools and principles: GitHub Repository Jenkins CICD pipelines integrated unit tests etc.
  • Knowledge of Azure Data Lake Storage (ADLS Gen2) and its topology on blob storage with file hierarchy storage account containers and folders.
  • Proficient in data mart fact and dimension design concepts ETLELT logic to perform upsert and type-2 and applyingimplementing with PythonPySparkstore procSQL in ADLS (with Lakehouse architecture using Databricks) or in Azure Synapse (with Dedicated SQL pool).


Preferred Qualifications:

  • Experience using Power BI to connect to sources with ADLS (including Delta Lake) Databricks SQL Azure Synapse (SQL pool) design semantic layerdata models createpublish reporting content (data setspaginate reportinteractive dashboard) and manage workspaces.
  • Solid understanding of data privacy and compliance regulations and standard methodologies.
  • Excellent problem-solving skills and the ability to solve technical issues efficiently.
  • Effective communication skills to collaborate with technical and non-technical partners.
  • Thorough approach with a commitment to delivering high-quality work in a fast-paced environment.


When you join our team:

  • Well empower you to learn and grow the career you want.
  • Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team well support you in shaping the future you want to see.


#LI-Hybrid

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 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 .

Referenced Salary Location

Waterloo Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$110530.00 CAD - $205270.00 CAD

If you are applying for this role outside of the primary location please contact for the salary range for your location. The actual salary will vary depending on local market conditions geography and relevant job-related factors such as knowledge skills qualifications experience and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife offers eligible employees a wide array of customizable benefits including health dental mental health vision short- and long-term disability life and AD&D insurance coverage adoption/surrogacy and wellness benefits and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays vacation personal and sick days and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S. please contact for more information about U.S.-specific paid time off provisions.

Manulife is embarking on replacing and building new data capabilities to help fuel our bold ambition to become a digital customer leader! We are seeking a skilled and motivated Lead Data Engineer to join our diverse team and play a key role in implementing optimizing and maintaining assets that deli...
View more view more

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

Company Logo

Manulife is a leading financial services group. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.

View Profile View Profile