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Data Engineer
WPP
posted 5hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Why were hiring:
At WPP, technology is at the heart of everything we do, and it is WPP IT s mission to enable everyone to collaborate, create and thrive. WPP IT is undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences and deliver insight from WPP s petabytes of data.
GroupM is the world s leading media investment company responsible for more than $63B in annual media investment through agencies Mindshare, MediaCom, Wavemaker, Essence and m/SIX, as well as the outcomes-driven programmatic audience company, Xaxis and data and technology company Choreograph. GroupM s portfolio includes Data Technology, Investment and Services, all united in a vision to shape the next era of media where advertising works better for people. By leveraging all the benefits of scale, the company innovates, differentiates and generates sustained value for our clients wherever they do business.
The GroupM IT team in WPP IT are the technology solutions partner for the GroupM group of agencies and are accountable for co-ordinating and assuring end-to-end change delivery, managing the GroupM IT technology life-cycle and innovation pipeline. This role will work as part of the Global Investment Systems Team. You will be responsible for product development and maintenance of data solutions. You will collaborate with the implementation function for supporting solution roll-out.
What youll be doing:
- 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.
What youll need:
- 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
Who you are:
Youre open
:
We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are accepting: of new ideas, new partnerships, new ways of working. Youre 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. Youre 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 well give you:
Passionate, inspired people - We promote a culture of people that 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
#LI-Onsite
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Data Engineer roles with real interview advice
What people at WPP are saying
Data Engineer salary at WPP
reported by
7
employees
with 3-8
years exp.
₹17
L/yr - ₹37
L/yr
150%
more
than the average Data Engineer Salary in India
View more details
What WPP employees are saying about work life
based on 175 employees
Flexible timing
Monday to Friday
No travel
Day Shift
WPP Benefits
View more benefits
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Chennai, Tamil Nadu
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