Must also have any experience with or knowledge of i developing scalable enterprise applications using Java or Python; ii designing and building Big Data ETL Pipelines using Dataproc, Data Fusion, Dataflow, or Spark; iii ANSI SQL; iv Cloud and Distributed Computing, specifically with the Google Cloud Platform including Cloud Storage, Cloud Functions, PubSub, Cloud Data Catalog, Datastore, Google Kubernetes Engine GKE and Stackdriver loggingmonitoring; v cloudbased big data analytical platforms such as BigQuery, BigTable, Redshift, or Snowflake; vi using version control of BitbucketGit; and vii CICD and automation tools of BambooTerraform.br br Experience can be concurrent.br br This is a hybrid officebasedworkfromhome position that requires the employee to be able to occasionally work in our Pittsburgh, PA, office.br br Note Since there is no experience required in H.6, the Kellogg language is not required.

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