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WPP is recruiting both experienced and fresh applicants for the role of Azure Data Engineer. The following contains all of the information regarding Drive.

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About WPP

With its headquarters located in London, England, WPP plc is a worldwide holding corporation that specialises in communications, advertising, public relations, technology, and commerce. As of 2019, it was the biggest advertising corporation in the world. Advertising, public relations, media, and market research networks including AKQA, BCW, CMI Media Group, Essence Global, Finsbury, Grey, Hill+Knowlton Strategies, Mindshare, Ogilvy, Wavemaker, Wunderman Thompson, and VMLY&R are just a few of the several businesses that WPP plc owns. Along with Publicis, The Interpublic Group of Companies, and Omnicom Group, it is considered one of the “Big Four” agency companies. WPP is a component of the FTSE 100 Index and has its primary listing on the London Stock Exchange.

Martin Sorrell retired on April 14, 2018, thirty-three years after starting the business. The chairman is Roberto Quarta.

WPP Hiring Azure Data Engineer Details

Job Role: Azure Data Engineer

Company Website: https://www.wpp.com/

Qualification: Graduate

Batch: 2024,2023,2022,2021,2020,2019,2018

Experience: Freshers/Experienced

Salary: 3 – 8 LPA* (Expected)

Job Location: Chennai, India

Last Date: ASAP

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Roles & Responsibilities

Below are the Roles & Responsibilities –

  • Help create, develop, and maintain bespoke databases and solutions on-premises and on Azure by utilising SQL and SSIS.
  • Make technical concepts understandable to non-technical individuals and explain to them why changes might be necessary to finish a project or reach a certain objective.
  • Create, assemble, and implement data management and ETL procedures. Create and implement an ETL job workflow that includes a rollback architecture and dependable error/exception handling.
  • Create and manage platforms and systems for data architecture and pipelines, utilising both distributed and local structures to manage the flow of data from internal and external sources.
  • Take part in the database architecture’s development, design, configuration, and documentation.
  • Adhere to test-driven development, continuous integration/delivery, evolutionary design, and refactoring as agile development techniques.
  • As a SME for concept investigation/viability and technical impact, collaborate with the Business Partner Team and Business Stakeholder during the project scoping and feasibility phases; identify and convey technical risks and mitigations.
  • Support production for data load tasks.
  • Create a personalised query to produce recurring reports automatically.
  • Create apps by either writing precise instructions for an offshore programmer to follow or by developing SQL scripts to modify data.
  • Maintain or modernise already-existing apps.
  • Attend important design meetings and offer assistance.
  • Other as needed tasks.

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Required Skills & Qualifications

Below are the Required Skills & Qualifications–

  • It is very desirable to have a bachelor’s degree in computer science, engineering, mathematics, or a related technical subject.
  • Proficiency in authoring TSQL (views, functions, and stored procedures) and in developing and overseeing SQL Server Integration Services (SSIS) processes.
  • Working with star schema and having data modelling experience
  • The capacity to manage non-technical stakeholders’ expectations while simultaneously comprehending and communicating their business requirements.
  • Familiarity with the whole application stack development life cycle, from architecture to testing and deployment.
  • Shown master data management expertise and understanding.
  • Proven expertise in data warehouse architecture and analysis, along with a thorough understanding of data modelling and data warehouse processes.
  • Integration testing data transfer points; Performance, load, and stress testing; Unit testing low-level components, such as SQL scripts, Stored Procedures, and ETL modules.
  • Expertise and familiarity with the Agile software development technique, including tools for its implementation, lifespan, and management.
  • Knowledge of Jira; Microsoft Release Management and any related products; TFS/GIT code repositories and branching techniques.
  • familiarity with Azure cloud services; familiarity with Azure Data Lake, Azure Data Factory, Azure Automation, and Azure Data Lake Analytics.
  • Knowledge of APIs.
  • A cooperative team member.
  • Meticulous and well-organized.
  • Outstanding abilities in writing, presenting, and communicating.
  • Thrives in a setting that is fast-paced and dynamic.

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