FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks, while ensuring data quality, governance, and compliance. Proficient in data architecture, relational data modeling, and implementing best practices in big data and cloud computing.
Highest-signal resume keywords
Azure Data FactoryAzure DatabricksData Governance SolutionsData Warehousing ConceptsPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT Pipeline DevelopmentData ArchitectureData ModelingSQL ProgrammingJava ProgrammingScala ProgrammingData ProcessingPerformance TuningCapacity PlanningAgile Scrum Methodologies
Soft Skills
CollaborationProblem-Solving
Tools & Technologies
Microsoft AzureADLS Gen2SynapseSQL ServerDevOpsCI/CD Pipelines
Industry Keywords
Data QualityData SecurityData PrivacyData ConsistencyData Infrastructure
Tech Stack
Tools & technologiesAzureCloudETLJavaPythonScalaSQLUnity
About the role
Key responsibilities & impact- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
- Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries
- Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
- Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance
- Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs
- Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure
- Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective
Requirements
What you’ll need- 4 or more years of relevant industry experience as a Data Engineer
- Experience building and operationalizing data pipelines in Microsoft Azure using Azure Data Factory and Azure Databricks
- Experience implementing and supporting data governance solutions using Databricks Unity Catalog
- Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines
- Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server)
- Strong understanding of data warehousing concepts and relational data modeling
- Experience with programming languages such as Python, SQL, Java, and/or Scala
- Understanding of Agile Scrum methodologies and experience working within Agile teams
- Experience in data processing, performance tuning, monitoring, and capacity planning
Benefits
Comp & perks- 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 including holidays, vacation, personal, and sick days
- full range of statutory leaves of absence
