Data Engineer

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $137.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Manulife

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1887

🏥 Healthcare

💸 Finance

🛡️ Insurance

💰 $1.2G Post-IPO Debt on 2023-03

Healthcare • Finance • Insurance

Manulife is a leading international financial services group based in Canada, offering a range of insurance and wealth management products to customers across North America, Asia, and Europe. The company is dedicated to helping people with their financial and healthcare needs through innovative solutions in insurance, investment, and retirement planning. Manulife is notable for its commitment to sustainability, diversity, equity, and inclusion. It has been recognized as one of Canada’s Top 100 Employers, demonstrating its dedication to creating a supportive and diverse workplace. With operations spanning numerous countries, Manulife is committed to delivering strong financial performance and customer satisfaction.

📋 Description

• Discover hidden information in massive datasets using advanced data analytics and machine learning techniques • Design, build, and maintain ETL/ELT data pipelines for large-scale datasets • Migrate legacy data architectures to Azure and AWS using cloud-native services • Develop and optimize Spark-based pipelines using Databricks and Synapse • Automate data ingestion, transformation, and delivery workflows with Airflow • Create interactive dashboards for business stakeholders • Design and manage MSSQL, PostgreSQL, and MongoDB databases • Implement secure and compliant pipelines and data governance policies • Integrate data sources using REST APIs • Collaborate with data scientists on machine learning model training and deployment pipelines • Gather requirements and deliver tailored data solutions with cross-functional teams • Set up monitoring and alerting for data pipeline health and reliability • Build and deploy applications with Docker • Identify workflow inefficiencies and implement cost-reducing process improvements

🎯 Requirements

• Master’s degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic Engineering, Information Systems, or a related field • 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

• Incentive programs and incentive compensation tied to business and individual performance • Health insurance • Dental insurance • Mental health benefits • Vision insurance • Short- and long-term disability insurance coverage • Life and AD&D insurance coverage • Adoption/surrogacy benefits • Wellness benefits • Employee/family assistance plans • Retirement savings plans, including pension/401(k) savings plans • Global share ownership plan with employer matching contributions • Financial education and counseling resources • Up to 11 paid holidays per year • 3 personal days per year • 150 hours of vacation per year • 40 hours of sick time per year, or more where required by law • Statutory leaves of absence • Flexible environment • Opportunities to learn and grow your career