Jobs

    Azure Databricks Engineer - Washington, United States - Cognizant

    Cognizant
    Cognizant Washington, United States

    1 week ago

    Default job background
    Full time Technology / Internet
    Description

    We are Cognizant Artificial Intelligence

    Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

    With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

    *You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future*

    Job Title: Azure Databricks Engineer.

    Roles & Responsibilities:

    Expertise in Azure Databricks and domain knowledge in Asset Management Operations. years of experience in Azure Data Factory Databricks dbt Proven development experience in building complex data pipeline for lake house data warehouses using Agile methodology ADF Databricks dbt Azure Cloud Services MSSQL Server ADWDB Python Pyspark Devops Should have thorough understanding of Datalakes raw enriched curated layer concepts and ETL within Azure framework High. Experience 12 to14 yrs. Required Skills Technical Skills- Azure Data Factory Azure Data Lake Azure Databricks Domain Skills- Nice to have skills Techincal Skills- Azure DW Python MSQL PySpark DevOps Domain Skills- Technology Microsoft Cortana Analytics.

    As a Senior Project Manager, you will be responsible for leading and managing projects related to Azure Databricks. You will collaborate with cross-functional teams to define project scope objectives and deliverables. You will develop and execute project plans monitor progress and ensure timely completion. Additionally you will provide leadership and guidance to project team members manage project budgets and communicate project status to stakeholder.

    Skilled in end-to-end Data warehousing and BI analytics design development Create Design Fun Experience required Skills Technical Skills Azure Databricks Domain Skills Nice to have skills Techincal Skills Python MSQL Azure Data Factory Azure DW PySpark DevOps Domain Skills Advent Geneva Technology Microsoft Cortana Analytics

    Experience in Azure Data Factory, Databricks, dbt.

    Proven development experience in building complex data pipeline for lakehouse/data warehouses using Agile methodology.

    ADF, Databricks, dbt, Azure Cloud Services, MS SQL Server ADW/DB, Python, Pyspark, Devops.

    Should have thorough understanding of Data-lakes, raw/enriched/curated layer concepts and ETL within Azure framework.

    Highly skilled in end-to-end Data warehousing and BI (analytics) design / development.

    Create Design, Functional/Technical specification documentations or any artifacts needed.

    Salary and Other Compensation:

    Applications will be accepted until 03/18/2024.

    The annual salary for this position is between $160,000.00 – $170,000.00 depending on experience and other qualifications of the successful candidate.

    This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.

    Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

    • Medical/Dental/Vision/Life Insurance
    • Paid holidays plus Paid Time Off
    • 401(k) plan and contributions
    • Long-term/Short-term Disability
    • Paid Parental Leave
    • Employee Stock Purchase Plan

    Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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