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Data Engineer

Data Engineer

ConfidentialChennai, India
28 days ago
Job description

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities.

Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore.

WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500.

Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.

Why we're hiring :

As a Data Engineer in the WPP Enterprise Data Group, you will play a crucial role in supporting WPP's Corporate Sustainability Reporting Directive (CSRD) initiatives. You will design and implement scalable data solutions, focusing on the ingestion, processing, and availability of diverse sustainability-related datasets. This role involves building robust data pipelines to ensure high-quality, auditable data for CSRD reporting and analysis.

As part of a team, your role will be focused on delivering solutions that leverage large scale data ingestion, processing, storage / querying, streaming & batch analytics using Azure Databricks, as well as other Azure based technologies.

You will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing :

  • Design and build data ingestion pipelines from various sources (including APIs) to support CSRD reporting requirements.
  • Ensure data availability and accessibility within Azure Databricks for analysis and reporting.
  • Develop and maintain robust data processing pipelines using PySpark / SQL to transform raw sustainability data into structured, reportable formats.
  • Support ongoing maintenance and optimization of data pipelines to ensure data integrity, performance, and scalability for CSRD data.
  • Facilitate the exposure of CSRD data to third-party platforms, specifically Watershed, ensuring seamless integration and data transfer.
  • Work with a variety of structured datasets, including those related to environmental, social, and governance (ESG) metrics.
  • Deliver data migrations between legacy platforms & Azure Databricks.
  • Propose technical designs and develop integrations.
  • Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.

Support cross-functional teams across the data space, collaborating closely with Data Analysts and CSRD stakeholders.

What you'll need :

Minimum requirements for this role include :

  • 3+ years of experience in Python and SQL
  • Experience using Databricks
  • Experience of Microsoft Azure data services –ADLS gen2, Azure Key Vault, Data Factory
  • Ideally experience in the following –Delta Lake, PySpark
  • Fluency in English
  • Exposure to data science / ML is a plus
  • Proven experience with API integrations for data ingestion.
  • Familiarity with ESG or sustainability data concepts is a plus
  • Who you are :

    You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded : to new ideas, new partnerships, new ways of working.

    You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction : to try the new and to seek the unexpected.

    You're extraordinary : we are stronger together : through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

    What we'll give you :

    Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

    Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

    Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge

    We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

    WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

    Please read our Privacy Notice (https : / / www.wpp.com / en / careers / wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

    Skills Required

    Data Factory, Pyspark, Databricks, Python, Sql

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