24 Nov
Azure Data Engineer with Snowflake
Vacancy expired!
- Minimum 1 year of experience in architecture and design of Azure data platform components including Azure Event Hubs, Azure Data Factory, Azure Data Lake Store, Azure Databricks, Azure CosmosDB, Azure functions, Azure Kubernetes Service, and Azure Stream analytics.
- Minimum 5 years of hands-on coding experience in Scala or Java
- Minimum 1 year of data engineering experience in building, testing, and deploying data pipelines on Azure data platform (productionized).
- Minimum 3 years of hands-on experience in building real-time streaming ETL/ELT using Spark Streaming and Kafka.
- Experience with Snowflake (Snowpipe, Streams, Tasks, stages, connectors, performance tuning)
- Azure Data and Snowflake certifications (Nice to have)
- Exposure to ETL tools on Big Data such as Talend or Dataflow or Glue (Nice to have)
Vacancy expired!