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- Minimum of 4 years of experience in a Data Engineering role, with a focus on Azure data services.
- Expertise in Azure Data Factory (ADF) and designing ETL/ELT data pipelines.
- Proficiency in Azure Databricks for big data processing, analytics, and machine learning workflow implementations.
- Experience maintaining and extending production data systems to evolve with complex needs.
- Familiarity with Unity Catalog and its integration with Azure Databricks for data governance.
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
- Design and deployment of performant end-to-end data architectures
- Strong understanding of SQL, Python, Java and/or Scala for data manipulation and transformation.
- Experience with Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database.
- Knowledge of data modeling, warehousing, and data lake patterns and practices in Azure.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and collaboratively in a fast-paced and dynamic environment.
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