Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred.
Proven experience in designing, implementing, and optimizing data pipelines using Microsoft Azure Data Factory.
Hands-on experience with Apache Spark and Databricks for big data processing and analytics.
Strong proficiency in SQL and experience with relational databases (e.g., SQL Server, Azure SQL Database).
Experience with other Azure services such as Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Synapse Analytics is a plus.
Solid understanding of data warehousing concepts, data modeling, and ETL best practices.
Excellent analytical and problem-solving skills, with a keen attention to detail.
Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert are desirable–
