Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Minimum of 10 years of professional experience in data engineering, with a focus on Azure Databricks, PySpark, and related technologies.
Extensive hands-on experience with Azure data services such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database.
Proficiency in PySpark and Python for data manipulation, transformation, and analysis.
Strong understanding of data modeling, ETL/ELT processes, and data integration techniques.
Experience with data warehousing concepts and technologies such as Azure Synapse Analytics (formerly SQL Data Warehouse) is a plus.
Excellent communication and interpersonal skills with the ability to effectively collaborate with diverse teams and stakeholders.
Azure certifications such as Microsoft Certified: Azure Solutions Architect Expert or Microsoft Certified: Azure Data Engineer Associate are highly preferred
