Job Description and Responsibilities:

Develop, test, and deploy data pipelines and ETL workflows using Azure Databricks.

Design and implement data models for efficient data storage and processing in Azure Databricks.

Optimize performance and scalability of data processing and analytics solutions using Azure Databricks.

Hands-on experience working at a high level in Architecture or Data Science or combination.

Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in ADB,ADL, ADF, ADW.

In-depth understanding of database and DWH structure principles.

Design conceptual, logical and physical data models.

6+ Experience in building data solutions using Apache Spark and Python or Scala.

7+ Experience with Azure Databricks and other Azure services such as Azure Blob Storage, Azure Data Factory, and Azure Machine Learning.

Knowledge of data modeling, data warehousing, and data integration concepts.

Strong programming skills in Python or Scala. 

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