What are the responsibilities and job description for the Data & Machine Learning Integration Engineer – Healthcare Network Systems position at John Hancock?
The Opportunity
John Hancock is a leading life and long-term insurance provider that combines a rich history of financial expertise with a forward-thinking approach to technology. As part of the global financial services group Manulife, John Hancock is committed to innovating its insurance offerings through state-of-the-art analytics and machine learning applications
As a Data & Machine Leaning Integration Engineer, you will join Advanced Analytics to help build provider registry and maintain data collection, and be instrumental in curating data across multiple channels to support the development of our groundbreaking care provider network. You will work data scientists to develop new AI methods for data normalization and resolution, and design robust databases to make the large volumes of data easily available for analytics and business consumption.
A strong background in machine learning, NLP and foundation models will be advantageous in this dynamic role
Responsibilities
- Partner with data engineers and architects to design and implement scalable database solutions and data models, organizing both structured and unstructured data.
- Develop processes for data cleansing, enrichment, and validation to improve quality and reliability
- Collaborate with data scientists to develop machine learning models to enhance the data transformation pipelines, such as transformer based methods to create probabilistic record matching.
- Monitor, solve, and optimize data pipelines for performance and efficiency
- Document data architecture designs, integration procedures, and data management workflows in a clear, comprehensive manner.
- Continuously evaluate new cloud technologies and data processing frameworks to enhance pipeline performance,
- Develop automation scripts and tools to ease the deployment, scaling, and management of data systems within the cloud environment.
What we are looking for
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
- A minimum of 3 years of relevant experience in a data engineering role with a strong understanding of data modeling, ETL/ELT development, and data warehousing principles.
- Proven experience with Databricks and Azure cloud services and data solutions including but not limited to Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Storage, and Azure Data Factory.
- Proficiency with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL.
- Ability to write efficient, well-documented code and maintain version control in collaboration with a team.
- Excellent problem-solving skills and the capacity to work under tight deadlines in a fast-paced environment.
- Previous work in agile development environments and knowledge of project management tools such as JIRA.
Apply at the Link:
https://manulife.wd3.myworkdayjobs.com/MFCJH_Jobs/job/Boston-Massachusetts/Data---Machine-Learning-Integration-Engineer---Healthcare-Network-Systems_JR25010427
