Note: The job is a remote job and is open to candidates in USA. Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. They are seeking a Data Engineer to design and maintain data pipelines, migrate data architectures to cloud platforms, and collaborate with data scientists to enhance data-driven decision-making.
Responsibilities
- Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making
- Design, build and maintain data pipelines for ETL/ELT processes for large scale datasets
- Migrate legacy data architectures to Azure and AWS leveraging cloud-native services for scalability
- Develop and optimize Spark based pipelines using databricks for large-scale data processing and Synpse for creating data pipelines
- Automate complex workflows for data ingestion, transformation, and delivery using Airflow
- Create interactive dashboards to communicate insights to business stakeholders
- Design and manage relational MSSQL, PostgreSQL, and NoSQL (MongoDB) databases for diverse use cases
- Implement secure and compliant pipelines including governance policies for sensitive data
- Integrate various data sources to streamline data processing and analysis using REST APIs
- Collaborate with data scientists to build pipelines for training and deploying machine learning models
- Work with cross-functional teams to gather requirements and deliver tailored data solutions
- Set up monitoring and alerting systems to ensure data pipeline health and reliability
- Use Docker to built and deploy applications and ensure consistency across development and production environments
- Identify inefficiencies in existing workflows and implement process improvements to reduce costs
Skills
- Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic Engineering, Information Systems or related field and 3 years of experience with Python, SQL, and ETL processes
- 3 years of experience with cloud platforms including AWS and Azure
- 3 years of experience using distributed computing frameworks including Spark, Databricks and Synapse
- 2 years of experience with orchestration tools including Apache Airflow
- 3 years of experience with data visualization tools including Power BI and Tableau
- 3 years of experience with database systems including SQL and NoSQL
- 3 years of experience using data governance, compliance, and security practices
- 3 years of experience with REST APIs and integration frameworks
- 3 years of machine learning and predictive modeling experience
- 3 years of experience with monitoring tools including Splunk and CloudWatch
- 2 years of experience using DevOps practices and containerization
Benefits
- Fully remote work from any location in the United States.
- 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
- Employee/family assistance plans.
- Various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
- Financial education and counseling resources.
- Up to 11 paid holidays
- 3 personal days
- 150 hours of vacation
- 40 hours of sick time (or more where required by law) each year
- The full range of statutory leaves of absence.
- Opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance
Company Overview