Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable effective data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*Why PWC
about us

.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law.



We strive to create an setting where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Job Description & Summary: A career within….

Responsibilities:

Deep expertise
Databricks: PySpark/SQL, Delta Lake, Structured Streaming, Jobs/Workflows, Unity Catalog, cluster policies, performance tuning.
Azure: ADLS Gen2, Event Hubs/Kafka, Azure Functions/Logic Apps, Key Vault, ADF, Synapse; VNETs, Private Endpoints, Managed Identity.
Fabric: Lakehouse, OneLake, Pipelines, Dataflows Gen2, Shortcuts, semantic models, governance integration with Purview and Power BI.

Architecture patterns
Lakehouse, medallion, Data Mesh/data products, CDC with Debezium/Fivetran/ADF mapping data flows, SCD handling, schema evolution.
Batch and streaming design, watermar

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