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    Senior Big Data Engineer - United Kingdom - Oracle

    Oracle
    Oracle United Kingdom

    3 weeks ago

    Default job background
    Description
    Some of the main Objectives of the Data Intelligence Platform are:


    • Efficiently load and transform data into a DWH
    • Provide advanced orchestration to use Data Lake based approach
    • Integration with 3rd party sources, open-source APIs
    • Data movement in both batch and real-time change data capture
    • Leverage Big Data technologies (Spark) to ingest, clean & transform data
    • Apply Machine Learning on DWH to proactively figure out issues and generate insights
    • Create dashboards in Oracle Analytics Cloud to drive decision-making
    Your Opportunity


    You will be responsible for applying your extensive knowledge as a data engineer and building Digital Government Data Platform .

    Our Ideal Candidate

    We are looking for a strong Data Engineer who thrives on research and development projects.

    Be technically strong and hands-on, who works efficiently with other product groups and engineering leaders to make sure we are building the right product and services.

    As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
    When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

    We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

    Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
    We're committed to including people with disabilities at all stages of the employment process.

    If you require accessibility assistance or accommodation for a disability at any point, let us know by calling , option one.


    Disclaimer:
    Oracle is an Equal Employment Opportunity Employer*.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law.

    Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

    • Which includes being a United States Affirmative Action Employer
    Your Responsibilities

    The Data Engineer will participate in


    • Building global scale data intelligence platform ingesting both structured and non-structured data.
    • Build and automate high-performance data processing pipelines/systems to ingest batch and/or streaming data
    • Design, build and maintain data warehouse, organize data into subject areas, understand data consumption and data visualization components using core Oracle technologies.
    • Working directly with architects , data scientists and product managers to ensure newer capabilities are built applying right design principles
    • Working with remote and geographically distributed teams to enable building the right products, using the right building blocks and making them consumable by other products easily
    • Be very technically hands-on and own/drive key end to end product/services
    • Ensure customer success including delivering fixes/patches as needed
    Basic Qualifications


    • Bachelors/Masters in Computer Science or related fields.
    • 8+ years of data management and engineering
    • 8+ years as a Data Engineer working with Data Warehouses and Data Lakes
    • Strong hands-on experience with PL/SQL, ETL design and Orchestration
    • Experience in data profiling, data validation and performance improvement experience for Analytical and OLTP systems
    • In-depth Object Oriented software development experience, Java/Python
    • 3+ years of data visualization and dashboarding using tools like OAC, PowerBI, Tableau, etc.
    • Experience with Oracle suite of products including Oracle Database, Oracle Autonomous Data Warehouse, Oracle Application Cloud, Oracle Data Integration, OBIEE
    • Hands-on experience working with cloud technologies (OCI, AWS, Azure, GCP)
    • Strong problem solving, troubleshooting and analytical skills.
    • Ability to quickly learn new technologies in a dynamic environment.
    • Good organization, communication and interpersonal skills.
    • Prior experience with Agile process
    Your Responsibilities

    The Data Engineer will participate in


    • Building global scale data intelligence platform ingesting both structured and non-structured data.
    • Build and automate high-performance data processing pipelines/systems to ingest batch and/or streaming data
    • Design, build and maintain data warehouse, organize data into subject areas, understand data consumption and data visualization components using core Oracle technologies.
    • Working directly with architects , data scientists and product managers to ensure newer capabilities are built applying right design principles
    • Working with remote and geographically distributed teams to enable building the right products, using the right building blocks and making them consumable by other products easily
    • Be very technically hands-on and own/drive key end to end product/services
    • Ensure customer success including delivering fixes/patches as needed
    Basic Qualifications


    • Bachelors/Masters in Computer Science or related fields.
    • 8+ years of data management and engineering
    • 8+ years as a Data Engineer working with Data Warehouses and Data Lakes
    • Strong hands-on experience with PL/SQL, ETL design and Orchestration
    • Experience in data profiling, data validation and performance improvement experience for Analytical and OLTP systems
    • In-depth Object Oriented software development experience, Java/Python
    • 3+ years of data visualization and dashboarding using tools like OAC, PowerBI, Tableau, etc.
    • Experience with Oracle suite of products including Oracle Database, Oracle Autonomous Data Warehouse, Oracle Application Cloud, Oracle Data Integration, OBIEE
    • Hands-on experience working with cloud technologies (OCI, AWS, Azure, GCP)
    • Strong problem solving, troubleshooting and analytical skills.
    • Ability to quickly learn new technologies in a dynamic environment.
    • Good organization, communication and interpersonal skills.
    • Prior experience with Agile process
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