This is with reference for Prospect for Data Engineer professionals
PFB the
Solid proficiency with data pipeline development in Python, Java, or Scala.
Experience with contemporary data frameworks (Spark, Kafka, Flink, dbt, or equivalent).
Solid understanding of SQL and NoSQL databases and data modelling principles.
Ability to optimize SQL, pipelines and storage for performance and cost.
Experience building batch and/or streaming data solutions.
Experience using Microsoft Fabric Notebooks to develop, debug, and operationalize data engineering workflows.
Experience with containerization and orchestration tools (Docker, Kubernetes).
Experience with observability and monitoring tools (Datadog preferred).