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    Senior Integration Engineer - San Jose, United States - Natsoft

    Natsoft
    Natsoft San Jose, United States

    2 weeks ago

    Default job background
    Description

    Role:
    Senior Integration Engineer

    Location:
    San Jose, CA or Lehi, Utah
    Long term: 1+ year is the duration.
    Contract Job

    • 10 years exp is ideal
    Snap logic

    Expertise 50% development.
    MS Dynamics

    Expertise 50% development
    Worked in IT Organization
    Salesforce

    exp is ok but not preferred.
    Data bricks is nice to have.
    Full stack/ Front end
    Someone who has done

    Integration

    and

    supported Marketing platforms.

    • 3 days a week onsite
    IF the candidate has exp in snap logic and has exp in Salesforce, he can be trained on Dynamics.
    IF the candidate has exp in Dynamics and no exp in Snap logic can be considered.

    Primary Focus is on Snap logic & Dynamics.


    Role/Responsibility:
    Build web services and create integrations between applications using Snap logic, Splunk, JSON, and HTML leveraging RESTful design principles.
    Develop business-critical solutions using both client-side and server-side technologies.
    Work as part of an Agile-scrum team to consistently deliver business relevant features, maintaining and owning whatever you deliver.
    Research technologies that can be used to accelerate the building of our stack.
    Write code to integrate open-source packages into our stack & components that we build ourselves
    Write unit test code
    Participate in regular design, code and test reviews
    Deploy our service and test it
    Collaborate with a team of engineers and product managers
    Work closely with security teams to ensure best practices are followed
    Investigate bug reports filed by our partners
    Communicate effectively with immediate management about features, risks, benefits and progress
    Write design documents and estimate schedule for the designated features


    What you need to succeed:
    7+ years of experience in software development or IT
    Proven experience using structured, disciplined approaches to solving technical, data, and logical problems at enterprise scale
    Experience in designing, developing, testing, and deploying data integrations.
    Experience with client-side technologies using HTML, CSS, JavaScript, XML, and AngularJS
    Strong Java coding skills.
    Focus on Quality (Unit Tests, Integration tests, Code Coverage) - experience with tools for e2e testing.
    Experience with both relational, and NoSQL databases
    Strong knowledge of infrastructure and application security
    Experience with API and Web Services (REST/SOAP/Bulk)
    Experience with a DevOps culture
    Working knowledge of continuous integration systems
    Strong RDMBS experience; JMS Knowledge
    Hands-on experience and expertise in Advanced SQL, AWS and Other Data Engineering tools, SnapLogic and other open source tools.
    Background in web services and systems integrations using HTTP and RESTful design principles
    Solid understanding of software development models, web technologies, database concepts and modern service oriented architectures.
    Understanding of version control systems like GitHub
    Understanding of build tools like Jenkins, Maven, and ANT
    Preferred 2+ years' experience with the Agile methodology.
    Preferred 2+ years' experience with story/sprint tracking tools such as JIRA or equivalent
    Preferred 1+ years' experience supporting marketing automation or lead generation
    Excellent verbal and written communication skills. Able to clearly articulate complex problems and solutions in terms that others can understand
    Strong understanding of integrations between hosted services and on-premise enterprise applications a plus.
    Strong understanding of API integration and lead management within Marketo
    Experience in Databricks workspace, Databricks notebooks, Job cluster, Delta Lake, Databricks Lakehouse and Unity catalog
    Experience on design and develop Data pipelines and ETL or ELT jobs to ingest and process data in data lake
    Databricks certification is a plus

    #J-18808-Ljbffr
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