You will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects
Job Summary
You will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.
The role focuses on delivering solutions that utilize large-scale data ingestion, processing, storage, streaming, and batch analytics using Databricks.
WPP offers a culture of creativity, belonging, and continuous learning with opportunities to work at an unparalleled scale in the industry.
Matching Summary
You will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.
Skills & Requirements
Must-have
3+ years designing distributed data pipelines
Extensive Python and SQL experience
Databricks platform and PySpark expertise
Microsoft Azure data services proficiency
CI/CD and Agile development practices
Nice-to-have
Experience with Kafka and Delta Lake
Knowledge of Pandas library
Exposure to AI and ML technologies
Understanding of data governance principles
Passion for lifelong learning and collaboration
Key Requirements
Minimum 3 years of experience in data engineering
Fluency in English language required
Demonstrable understanding of CI/CD and unit testing