Summary from listing
The role is a hands-on engineering lead responsible for designing information infrastructure, data management processes, data pipelines, data persistence solutions, and proof-of-concept architectures. It involves ingesting, cleansing, normalizing, and processing structured and unstructured data across CRM, broker, sales, finance, HR, and other applications, with emphasis on cloud data platforms, streaming technologies, databases, and event-driven pipelines. The posting seeks a candidate with a relevant bachelor’s degree and at least three years of data-development experience using Python, Kafka, Spark Streaming, Azure services, and other cloud technologies.
