Azure and Databricks Data Engineer, Senior Associate

PricewaterhouseCoopers

Employer Active

Posted 14 hrs ago

Experience

3 - 9 Years

Job Location

Egypt - Egypt

Education

Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Key Responsibilities

  • Design, develop, and maintain end-to-end data pipelines across structured, semi-structured, and unstructured data sources.
  • Implement data ingestion, transformation, and orchestration frameworks leveraging Azure Data Factory, Synapse, and/or Microsoft Fabric Data Pipelines.
  • Develop and optimize ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake) to ensure high performance and scalability.
  • Implement and enforce data quality, lineage, and governance practices.
  • Work closely with solution architects to design modern data architectures and ensure compliance with security and privacy standards.
  • Participate in client workshops and technical discussions to translate business needs into technical designs.


Required Skills & Experience

  • 3 6 years of experience in data engineering, preferably in a consulting or enterprise environment.
  • Strong hands-on experience with:
    • Azure Data Platform: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, and Azure Functions.
    • Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, and Databricks Workflows.
  • Proficiency in Python and SQL for large-scale data processing and transformation.
  • Solid understanding of data modeling, medallion architecture, and lakehouse principles.
  • Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, Azure DevOps).
  • Knowledge of data governance, lineage, and observability tools.
  • Experience with performance optimization, cost control, and best practices in cloud environments.

Desired Candidate Profile

Job Description & 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.br> 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.

Company Industry

  • Accounting & Auditing

Department / Functional Area

  • IT Software

Keywords

  • Azure And Databricks Data Engineer
  • Senior Associate

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PricewaterhouseCoopers


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