• Data Engineer

    SMBC (Jersey City, NJ)


    The Scope

     

    The Azure Cloud Engineer strategizes, designs, develops and work with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions. The incumbent will play a key role in supporting the growth and scale of our Azure cloud-based technology infrastructure. This role is also responsible for complex interface process development, troubleshooting issues, supporting weekend maintenance and production support

    Primary Responsibilities

    PRIMARY RESPONSIBILITIES

    The job responsibilities are described herein:

    • Develop notebooks using Python, SQL, R language in Databricks

    • Databricks Cluster configuration, repository configuration.

    • Seamless integration with On-prem and cloud databases and Power BI reports

    • Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.

    • Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying platforms that enable data- driven solutions.

    • Provide technical guidance on technology implementation and architectural changes.

    • Sr. Azure Cloud Engineer coordinating with platform, APIM, Azure DevOps, and Support.

    • Analyze and design technical solutions on Azure to address business needs.

    • Develop, test, and modify software to improve efficiency of data platforms and applications.

    • Ability to own projects from end to end, working with business stakeholders, IT teams, data stewards, and 3rd party companies to ensure accurate outcomes.

    • Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards.

    • Enable streaming data use-cases and standard design patterns in a big data environment.

    • Collaborating with data scientists to integrate algorithms and models into automated processes.

    • Review and provide feedback on core code changes and support production deployment.

     

    Core Technologies

     

    Azure databricks, Azure Data Factory, Azure Functions, Azure Data Lake storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Azure Service Bus, R, Python, SQL Server, Oracle / PL-SQL, T-SQL and SQL stored procedures, Azure DevOps

    QUALIFICATIONS

    + IT professional experience in Azure Cloud with over 5+ years of Azure Development

    + Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.

    + Excellent interpersonal and communication skills

    + Experience with software configuration management tools such as Git/Gitlab

    + Experience with continuous integration and deployment (CI/CD) tools such as Azure DevOps