• Cloud Data Engineer (Azure)

    DATAMAXIS (Dearborn, MI)


    Cloud Data Engineer will be responsible for developing on the data lake platform and all applications on Azure cloud. Good data Engineering, data modeling is a must with Python programming background. The Data Engineer will be responsible for providing design and development solutions for applications in the cloud.

    Essential Job Functions:

    + Understand requirements and engage with team to design and deliver projects.

    + Design and implement data lake house projects within azure.

    + Design and develop application lifecycle utilizing Microsoft Azure technologies

    + Participate in design and planning and necessary documentation

    + Participate in Agile ceremonies including daily standups, scrum, retrospectives,demos, code reviews.

    + Hands on with Python development and Azure data pipelines

    + Engage with team to develop and deliver cross functional products

    + Postgres SQL knowledge is a plus

    Minimum Qualifications and Job Requirements:

    + Bachelor's degree in CS.

    + 7 years of hands-on experience in designing and developing distributed data pipelines.

    + 5 years of hands-on experience in Azure data service technologies.

    + 5 years of hands-on experience in Python, SQL, Object oriented programming, ETL and unit testing

    + Experience with data integration with APIs, Web services, Queues

    + Experience with Azure DevOps and CI/CD as well as agile tools and processes including JIRA, confluence.

    + Working experience with writing SQL queries from scratch

    Key Skills

    a. Data Engineering and SQL

    b. Python

    c. PySpark

    d. Azure Data lake and ADF

    Other Responsibilities:

    + Document and maintain project artifacts.

    + Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.

    + Complete training as required for Privacy, Code of Conduct etc.

    + Promptly report any known or suspected loss, theft or unauthorized disclosure or use of PI to the General Counsel/Chief Compliance Officer or Chief Information Officer.

    + Adhere to the company's compliance program.

    + Safeguard the company's intellectual property, information, and assets.