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    Senior Integration Engineer - San Jose, United States - Natsoft

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    Description

    Role: Senior Integration Engineer

    Location: San Jose, CA or Lehi, Utah

    Long term: 1+ year is the duration.

    Contract Job

    7 - 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.

    2 - 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



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