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Data Engineer

  • Remote, United States

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Job details

Posting language
English
Posted

Original job description

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.

More about this job

Skills

  • Python
  • SQL
  • Process data
  • Data engineering
  • Data warehouse
  • Debugging
  • Process improvement
  • Data management
  • Oracle Java
  • Microsoft Azure
  • AWS
  • Google Cloud
  • Agile

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