Etic, Azure And Databricks Data Engineer, Senior Associate
PwC
Azure data services
Databricks for data engineering
Azure data factory, synapse, fabric
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks
Job Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks.
You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
This role requires a strong understanding of cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and deep practical knowledge of Databricks for batch and data engineering.
Matching Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks.
Skills & Requirements
Must-have
Azure data services
Databricks for data engineering
Azure Data Factory, Synapse, Fabric
Databricks PySpark, SQL, Delta Lake
Python and SQL for data processing
Modern data architectures
CI/CD pipelines and DevOps
Nice-to-have
Consulting or enterprise environment experience
Data governance and lineage knowledge
Performance optimization and cost control
Key Requirements
3–6 years of experience in data engineering
Azure Data Platform experience
Databricks experience
Proficiency in Python and SQL
Solid understanding of data modeling
Familiarity with CI/CD pipelines, DevOps, and version control
Knowledge of data governance, lineage, and observability tools