Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Data Engineer developing and maintaining data capabilities for Manulife to become a digital customer leader. Involved in ETL processes and data integration across various systems.
Responsibilities
- Design, develop, and manage data pipelines for data extraction, transformation, and loading
- Collaborate with teams to understand and design data schemas
- Continuously improve ETL processes for optimization
- Implement data cleansing and transformation processes
- Design testing plans and maintain data quality assurance
- Work closely with technical resources for infrastructure improvements
- Collaborate with business leads for data architecture implementation
- Monitor data pipeline performance and solve issues
- Ensure data governance and compliance throughout the data lifecycle
Requirements
- Bachelor’s Degree in Computer Science, Information Technology, or related field
- 5+ years of experience as a Data Engineer
- Experience with Azure Data Factory, Databricks, Python/Pyspark, Java, Scala
- Understanding of Azure infrastructure including RBAC, integrations with Azure AD, network concepts, and data protection
- Experience deploying and integrating Azure Data Services using DevOps tools
- Knowledge of Azure Data Lake Storage and its topology
- Proficient in ETL/ELT logic and implementation with SQL in Azure services
Benefits
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability insurance
- Life and AD&D insurance coverage
- Adoption/surrogacy and wellness benefits
- Employee/family assistance plans
- 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 including holidays, vacation, personal, and sick days
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