Job Description
 
In this role, you will be responsible for building out key components of data ingestion and transformation, using a combination of strong Python and SQL development skills as well as Big Data processing technologies.
 
Responsibilities for this role include:
 

• Implement data engineering best-practices to build extraction, loading, and transformation logic to land large datasets into the data warehouse.
• Aptitude to independently learn new technologies, prototype, and propose software design and solutions.
• Handle end-to-end development, including coding, testing, and debugging during each cycle
•  Develop automated tests for multiple scopes (Unit, System, Integration, Regression)
•  Mentor new and junior developers
• Identify and recommend appropriate continuous improvement opportunities

 
Job Requirements for this role are as follows:
 

• Knowledge of the data management eco-system including Concepts of ETL, data integration, etc.
• At least 4 years of experience in application development
• At least 3 years of experience in big data technologies
• 5+ years of experience in application development including Python, SQL, or Java
• 2+ years of experience with a public cloud (Microsoft Azure, AWS, Google Cloud)
•  2+ years of experience with Agile engineering practices

 
About the team:
 
We are an analytics team building out pipelines for measuring and analyzing key internal components across Manulife.