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Manulife

Senior Data Engineer

Reposted 2 Days Ago
Be an Early Applicant
In-Office
2 Locations
Expert/Leader
In-Office
2 Locations
Expert/Leader
The Data Engineer will develop batch and real-time data pipelines using Azure technologies, oversee DevOps processes, and lead agile development practices while mentoring team members.
The summary above was generated by AI

Responsibilities:

  • Hands-on data engineering and technical oversight in the development of batch and real-time data pipelines, DevOps pipelines and end-to-end processes supporting data ingestion, curation, virtualization and delivery at scale leveraging Microsoft Azure Data & Analytics PaaS Services.
  • Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off.
  • Translate business requirements to technical solutions working with development teams, architects and business analysts conformant to enterprise standards, architecture and technologies.
  • Delivery of modernization of enterprise data solutions using Azure cloud data technologies.
  • Design and Build Modern Data Pipelines and Data Streams.
  • Design and Build Data Service APIs.
  • Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and Advanced Analytics.
  • Expose data to end-users using PowerBI, Azure API Apps, or any other modern visualization platform or experience.
  • Playing a key role in mentoring other staff members and a proven track record in knowledge transfer to other team members and departments.
  • Identifies opportunities for new architectural initiatives makes recommendations on the increasing scalability and robustness of platforms and solutions.

Knowledge and skills:

  • 10+ years of professional experience with designing and development of data warehouses and ETL tools and technologies.
  • Strong experience as an Azure Data Engineer and must have Azure Databricks experience.
  • Expert level understanding of Azure Data Lake, Azure SQL databases, Azure Data Factory and Azure Databricks is required.
  • Hands-on experience on designing and developing scripts for ETL processes and automation in Azure data factory, Azure databricks and PySpark.
  • Experience preparing data for use in Data science/Advanced Analytics using Azure ML.
  • Experienced with the Hadoop ecosystem and toolset – HDFS, MapReduce, Spark, Python, Scala, Hive and Oozie.
  • Experience with CI/CD tools such as GitHub, Jenkins and Azure DevOps to configure and build CI/CD pipelines
  • Knowledge of BI tools such as PowerBI
  • Strong interpersonal, written and oral communication skills
  • Proven ability to effectively prioritize and execute tasks in a team-oriented, collaborative work place
  • Self-reliant and comfortable with a rapidly changing environment
  • Customer service orientation
  • Ability to assimilate new skills to support
  • Ability to adapt to new service needs as they arise

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].

Referenced Salary Location

Halifax, Nova Scotia

Working Arrangement

Hybrid

Salary range is expected to be between

$94,220.00 CAD - $174,980.00 CAD

If you are applying for this role outside of the primary location, please contact [email protected] 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 [email protected] for more information about U.S.-specific paid time off provisions.

Top Skills

Azure Data & Analytics Paas Services
Azure Data Factory
Azure Data Lake
Azure Databricks
Azure Devops
Azure Sql
Git
Hadoop
Hdfs
Hive
Jenkins
Mapreduce
Azure
Oozie
Power BI
Pyspark
Python
Scala
Spark

Manulife Ottawa, Ontario, CAN Office

Ottawa, ON, Canada

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