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Richardson

    Azure Infra Engineer - Richardson, United States - Diverse Lynx

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    Description

    Title:
    Azure Infra Engineer



    Location: 1001 Lookout Drive, Richardson, TX (Onsite)


    Duration: 12+ Months

    Job summary:


    Looking for an Infrastructure Azure Data Bricks Operations Engineer to be part of a team to support Azure Platform and Azure Technologies.


    Required Skills:


    • Azure Databricks
    • Azure PaaS
    • Azure DevOps (VSTS)

    Roles & Responsibilities


    • Implement Cloud(Azure) Delta lake house platform infrastructure, RBAC using IAC(Terraform) as per the industry best practices
    • Work with architecture / security teams to remediate infrastructure related concerns and recommendations
    • Work with clients to define their cloud data platform and implement cutting-edge data solutions to provide valuable business insights including AI/Client
    • Drive analysis, architecture, design, governance and development of data warehouse, data lake, and business intelligence solutions
    • Research, synthesize, recommend, and select technical approaches for solving difficult migration, development, and integration problems
    • Understanding the Python , Scala and SQL Codes and troubleshooting databricks , database and azure connectivity and access related issues.
    • Conduct and support workshops, design sessions, and project meetings as needed, playing a key role in client relations
    • Utilize Lake house Fundamentals, Developer Foundations Capstone, Developer Essentials Capstone, etc.
    • Collaborate applications teams/Business users to develop new pipe lines with Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.
    • On-call 24x7 support - Work hours will not exceed 80 hrs in 2 weeks with Comp time off given for hours worked after hours and weekend. Comp time must be taken in the 2nd week to ensure that between the 2 weeks, does not exceed 80 hrs. (there is no extra $ to bill)

    Qualifications


    • Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog
    • Extensive hands-on experience implementing enterprise grade Cloud Databricks Infrastructure(i.e., Azure Stack), RBAC, SCIM etc., using IAC tools like Terraform
    • Extensive hands-on experience implementing server less real-time/near real-time architecture using Cloud native services (i.e., Azure Stack), and Spark technologies (e.g., Spark Streaming, Spark Client)
    • Experience in data governance fields as lineage, quality, catalog, multi-cloud experience, etc.
    • 5+ years of experience in Data bricks engineering solutions on one of the Cloud platforms (Azure)
    • 5+ years of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure)
    • 5+ years of Demonstrated experience in Microsoft Azure cloud solutions, architecture, related technologies
    • Demonstrable experience working in transformational projects where you implemented data platforms and/or ETL/ELT/CDC pipelines using Databricks
    • 5+ years of Demonstrated experience in Microsoft Azure cloud solutions, architecture, related technologies
    • Experience with conceptualizing and architecting data lakes on cloud-centric platforms; should be able to articulate the value and key components of data lakes
    • Experience in Databricks Overwatch.
    • Excellent interpersonal, verbal, and written communication skills
    • Passionate about learning new technologies
    • Bachelor's degree or equivalent work experience

    Years of Experience:
    14.00 Years of Experience

    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

    All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

    We promote and support a diverse workforce across all levels in the company.


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