Azure Data Engineer (with Snowflake) The qualified candidate must have the following skillsexperience 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 ETLELT 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) All candidates wishing to be considered must provide their full legal name, official photo ID, proof of work authorization, and a link to their LinkedIn profile. For immediate consideration of your qualifications and additional information, please send your resume and documentation.
Associated topics: data administrator, data architect, data engineer, data integrity, data quality, data scientist, data warehousing, etl, erp, teradata