Description

4-year Bachelor’s degree in Computer Science (strict requirement). 7+ years of professional experience in data engineering, architecture, or enterprise analytics platforms, including at least 3+ years focused on cloud data architecture. Proven experience designing and implementing Azure-based data solutions, including Data Lake, Data Factory, Synapse, and Databricks. Strong understanding of data modeling, schema design, and metadata management within large-scale data platforms. Hands-on expertise with distributed data processing frameworks such as Spark and Databricks. Demonstrated ability to produce and maintain clear architectural documentation and system diagrams. Proficiency in Python and SQL for pipeline development, data transformation, and automation

Key Skills

Education

Bachelor's degree