Hybrid Senior Data Engineer

Posted last week

Apply now

About the role

  • Enable the building, maintenance, enhancements, and support of new and existing Azure data pipelines for various analytical use cases inclusive of AI/ML/BI/GEN AI and reporting
  • Partner with collaborators in understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife’s IT security and risk guidelines
  • Develop data understanding with partners; prioritize building interconnected datasets for user access
  • Value quality on ensuring our Azure applications in prod run within SLA and ensure their robustness and security
  • Propose technology improvements or come up with innovative solutions to solve business problems
  • Collaborate with the Architecture team, as well as experts in security and risk management
  • Lead, mentor and guide data engineers to promote customer first approach
  • Automate infrastructure provisioning and deployment using tools such as terraform
  • Implement CI/CD pipelines that enables automated code deployment
  • Participate in Agile sprints and ceremonies; supports rapid iteration and development
  • Take lead in maintaining the inventory of critical data elements and lineage
  • Cultivate and maintain strong relationships and foster collaboration with various teams and partners within the organization

Requirements

  • Bachelor’s in computer/IT or data related fields required
  • Master’s degree is a plus
  • 6 + years of previous data engineering experience
  • 3+ years of experience working in enabling azure related data technologies
  • Solid understanding of Azure infrastructure
  • Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL
  • Experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks
  • High proficiency in GIT/Jenkins/dev ops processes
  • Knowledge of implementing azure technologies and networking via terraform
  • Proficient in data modeling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake
  • Solid understanding of data privacy and compliance regulations

Benefits

  • health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
  • adoption/surrogacy and wellness benefits
  • employee/family assistance plans
  • various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
  • financial education and counseling resources
  • generous paid time off program in Canada (includes holidays, vacation, personal, sick days, and statutory leaves of absence)

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

CA$94,220 - CA$174,980 per year

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job