3-5 sentence summary about the role considering these questions: what is the opportunity? How is this role contributing to our mission? What will they get from this opportunity?

Position Responsibilities:

• Key Responsibilities:
  Designs, builds, and maintains reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis.
  Implements data orchestration pipelines, data sourcing, cleansing, augmentation, and quality control processes.
  Collaborates with business and technology stakeholders to understand current and future data infrastructure requirements.
  Designs, builds and maintains scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow; including those specifically tailored for machine learning workflows.
  Designs, implements, and maintains existing and future data platforms like data warehouses, data lakes, data lakehouses for structured and unstructured data.
  Collaborates with Data Scientists and Engineers to create features and pre-process data for ML models and move data analysis models into production.
  Designs and develops analytical tools, algorithms, data landscape modernization roadmaps, and programs to support Data Engineering activities like writing scripts and automating tasks.
  Utilizes a variety of data interchange formats to ensure data requirements are met and continuously monitors data integrity across the organization.
  Deploys machine learning models with existing production systems and workflows, considering compatibility with other systems, data sources, and APIs.
  Designs and promotes effective use of data querying APIs to provide easy access to organizational data sources.
  Evaluates, integrates, and manages tools and frameworks within the data engineering ecosystem, ensuring compatibility and efficiency in model development and deployment.
  Designs and promotes data versioning and lineage tracking, including transparency and traceability for data used in ML model training and inference.
  
  Job Requirements:
  Knowledge of database systems, data lakes, and NoSQL databases
  Knowledge of data warehouse concepts and architectures (e.g., Synapse)
  Familiarity with data quality and data modelling tools
  Proficiency in using version control systems like Git for managing codebase
  Experience with Cloud native data services such as Pyspark, Scala, Azure Datafactory and Databricks
  Practical experience with big data processing frameworks and techniques such as HDFS, MapReduce, Storage formats (Avro, Parquet), Stream processing
  Experience with integrating to back-end/legacy environments
  Knowledge of AI model deployment in production environments
  Experience handing real-time data for AI Applications
  Ability to build and deploy Data Ops. And ML Ops. Pipelines in Cloud-native environments

When you join our team:

• We’ll empower you to learn and grow the career you want.

• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Hybrid