3+ years designing scalable distributed data pipelines
Extensive experience with microsoft azure data services
Proficiency in python and sql for data engineering
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 the opportunity to create, influence, and complete projects at a scale that is unparalleled in the industry within a culture of creativity and collaboration.
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 scalable distributed data pipelines
Extensive experience with Microsoft Azure data services
Proficiency in Python and SQL for data engineering
Nice-to-have
Experience with Kafka, Delta Lake, and Pandas
Exposure to AI and ML technologies
Understanding of CI/CD and Agile practices
Key Requirements
Minimum 3 years of experience in data pipeline design
Must have extensive experience with Databricks platform and PySpark