Data Engineer developing and maintaining automation for efficient operations at Manulife. Collaborating with teams to enhance data infrastructure and streamline processes.
Responsibilities
Design, develop, and manage data pipelines that facilitate extraction, transformation, and loading of data from diverse sources
Automate infrastructure provisioning and deployment using tools such as Terraform
Collaborate with Architecture, security, and risk teams to implement guidelines and Azure standard methodologies
Collaborate with business teams to suggest data solutions that align with business goals
Stay up to date with the latest tools and technologies to enhance data infrastructure
Learn and implement best practices of big data and cloud computing
Requirements
3 to 4 years of relevant industry experience as Data Engineer
Good working knowledge on MS Azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server)
Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
Good knowledge of data warehousing concepts and relational data modelling
Strong hands-on knowledge of Python, PySpark, and T-SQL
Experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks
Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production
Benefits
Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short- and long-term disability insurance
Life and AD&D insurance coverage
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans (including pension)
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Generous paid time off including holidays, vacation, personal, and sick days
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