Data Engineer

WPP
Chennai
Workplace: HybridFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Collaboration","Continuous learning","Communication","Problem-solving","Adaptability"]

Design and implement scalable data solutions for enterprise-scale transformation within the WPP Enterprise Data Group. Build and maintain ELT data pipelines, secure data platforms with governance, and create automated, best-practice solutions. Work hands-on with Databricks (including PySpark), streaming and batch analytics, and Microsoft Azure services (Data Factory, ADLS gen2, Event Hubs, Azure SQL, Key Vault). Support migrations and cross-functional teams, ensuring scalability and performance.

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FursaFursa
WPP
WPP
2 days ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Design and implement scalable data solutions for enterprise-scale transformation within the WPP Enterprise Data Group. Build and maintain ELT data pipelines, secure data platforms with governance, and create automated, best-practice solutions. Work hands-on with Databricks (including PySpark), streaming and batch analytics, and Microsoft Azure services (Data Factory, ADLS gen2, Event Hubs, Azure SQL, Key Vault). Support migrations and cross-functional teams, ensuring scalability and performance.
Location: Chennai
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, test, and maintain ELT data pipelines according to business and technical requirements
  • •Implement secure data platforms with data governance in mind
  • •Estimate, design, code, test, deploy, and ensure scalability and performance of solutions on Azure using Databricks
  • •Propose technical designs and develop integrations, including data migrations between legacy and modern platforms
  • •Design and deliver data warehousing solutions and support cross-functional teams across the data space

Key Requirements

  • •3+ years designing and building scalable distributed data pipelines and dimensional data models
  • •3+ years experience with Python and SQL
  • •Experience using Databricks and PySpark is required
  • •Extensive experience with Microsoft Azure data services including Data Factory, ADLS gen2, Event Hubs, Azure SQL, and Azure Key Vault
  • •Experience with CI/CD and Agile practices, including unit and integration testing using Azure DevOps
Experience:3+ years
Skills:CollaborationContinuous learningCommunicationProblem-solvingAdaptability
Languages:English
Tech Stack:DatabricksPySparkPythonSQLAzureData FactoryADLS gen2Event HubsAzure SQLAzure Key VaultKafkaDelta LakePandasCI/CDAgileAzure DevOpsELTStreamingBatch analytics

Company Brief

WPP
Global marketing and communications services group offering advertising, media investment management, branding, public relations, and digital services to multinational clients across industries.
Industry: Advertising Media Groups
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1971
WebsiteLinkedIn