Summary from listing
The Data Engineer will build scalable production-ready APIs in Python and Java, develop ETL pipelines, CI/CD pipelines, and data product templates, apply monitoring, debug data teams, deploy open-source tools on cloud platforms, communicate with stakeholders, and help establish data engineering best practices. The role requires Docker and Kubernetes expertise, Databricks and PySpark optimization, GCP, StackIT, and Azure experience, stakeholder communication, data-discipline knowledge, business-requirement analysis, collaboration, and very good English skills.
