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- Three or more years of experience in building data lake, cloud data platform leveraging cloud (Azure) cloud native architecture, ETL/ELT, and data integration • Experience with integration and service frameworks (e.g API Gateways, Apache Camel, Swagger API, Zookeeper, Kafka, messaging tools, microservices) • Extensive experience developing, deploying, and maintaining data pipelines, data lakes, data warehouses, databases and storage while adhering to strict security and privacy standards • Experience Analyzing databases for performance optimization, including data normalization, indexing, and memory management. • Advanced level knowledge and experience working with Python and SQL programming. • In-depth knowledge of IT concepts, strategies and methodologies, diverse and emerging technologies and new architectural concepts and principles
- Three (3) years of data engineering, cloud architecting, programming, building ETL solutions, or related experience.
- Three (5) years of data engineering experience developing data solutions using Python and other Azure cloud-based services.