Data Engineer

Overview

WPP is hiring a Data Engineer for the WPP Enterprise Data Group to design and implement scalable enterprise data transformation solutions.

What you'll do

• Design, build, test, and maintain ELT data pipelines based on business and technical requirements.
• Implement secure data platforms with data governance in mind.
• Estimate, design, code, test, and deploy data solutions with scalability and performance focus.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy and modern platforms.
• Deliver data warehousing solutions and related data engineering workstreams.
• Support cross-functional teams across the data space.

What you'll need

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models.
• 3+ years of experience in Python and SQL.
• Experience using Databricks platform and PySpark is a must.
• Extensive experience with Microsoft Azure data services including Data Factory, ADLS gen2, Event Hubs, Azure SQL, and Azure Key Vault.
• CI/CD and Agile practices experience, including unit and integration tests, using Azure DevOps.
• Fluency in English.

Nice to have

• Exposure to AI & ML technologies.
• Experience with Kafka, Delta Lake, and Pandas.

Details

• Location: Chennai, Tamil Nadu, India.
• Work mode: Hybrid (teams in the office around four days a week).