WPP Recruitment Drive; Hiring Data Analyst – Apply Now

Data Engineer Job Openings in Chennai 2025!!!

WPP announced job vacancy for the post of Data Engineer. The place of posting will be at Chennai. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	WPP
Required Qualifications	Graduate
Skills	Google Cloud Platform solutions; knowledge of Google BigQuery, Google Storage, and Google CloudRun
Category	Analysis
Work Type	Onsite

WPP is at the forefront of the marketing and advertising industry's largest transformation. Their Global CIO is leading a significant evolution of their Enterprise Technology capabilities, bringing together over 2,500 technology professionals into an integrated global team. This Team will play a crucial role in enabling the ongoing transformation of their agencies and functions.

Θ Positions: Data Engineer

Θ Job Location: Chennai

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID: 7822551002

Roles and Responsibilities:

• Assist in the build, development, and management of custom databases/solutions using SQL and Azure data technology stack. 
• Design, build and deploy ELT pipelines and data management processes.
• Operationalise ELT job workflow with reliable error/exception handling and rollback framework. 
• Build and oversee data architecture & pipelines platforms and systems, managing the flow of data from internal and external sources by leveraging both distributed and local structures. 
• Participate in developing, designing, configuring, and documenting database architecture.
• Monitor and improve data loading performance.
• Conform to agile development practices – Evolutionary design, refactoring, continuous integration/delivery, test-driven development.
• Work collaboratively with Business Partner Team and Business Stakeholder during projects scoping and feasibility phases as a SME for concept investigation/viability and technical impact; Identify and communicate technical risks and mitigations.
• Provide production support for data load jobs.
• Write customized query to generate automatic periodic reports. 
• Maintain or upgrade existing applications.
• Attend key design meetings and provide support.

Required Skills & Qualifications:

• Bachelor’s degree in computer science, Engineering, Mathematics or other technical field is highly preferred.
• Experience in creating and managing Azure Data Factory pipelines and writing TSQL (views/functions/stored procedures).
• Experience in managing Azure Data Lake structure and security 
• Experience with data modeling
• Ability to understand and communicate business requirements from non-technical stakeholders while simultaneously managing their expectations.
• Experience with the full development life cycle of an application stack - from architecture through test and deployment. 
• Experience in Master Data management solutions.
• Experience in data warehouse analysis and design, with full knowledge of data warehouse methodologies and data modelling.
• Unit testing low level components – SQL scripts, Stored Procedures, ETL/ELT modules; Integration testing data transition points; Performance, load and stress testing.
• Knowledge and experience in software development methodology and toolset for implementing, lifecycle and management – Agile methodology.
• GIT code repository and branching strategies; Microsoft Release Management and any deployment tools; Azure DevOps knowledge.
• Experience with Azure cloud solutions; Knowledge of Azure Data Factory, Azure Automation, Azure Data Lake, Azure Synapse, Azure Purview, Azure KeyVault, and Azure Batch. 
• Experience with Google Cloud Platform solutions; knowledge of Google BigQuery, Google Storage, and Google CloudRun
• Experience with APIs.
• Team player 
• Organized and detail oriented 
• Excellent communication, presentation, and writing skills  
• Thrives in a fast paced, constantly changing environment

 

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