Must have experience with StreamBatch processing and building automated ETL pipelines; building data pipelines using different programming languages Java, Python, Scala; developing parallel applications by practicing functional programming with Scala; Data Analysis and Data Modelling with Erwin DaXml; working on Presto, Alluxio ,Solr, Docker, Druid along with Spark ,Hive, Erwin, Automic, Airflow and Erwin; databases Hive, MongoDB, Cassandra, GCP BigQuery; developing solutions to increase profitability and reduce cost through resolving technical deficiencies and provide technical expertise and create software design proposals for upcoming components; transitioning Data to load data from Teradata to Datalake; analytical problem solving and presentation skills and active Team Player; working on Docker Containers and implementing logs and deploying them in GCP using Cloud Build. Employer will accept any amount of experience with the required skills.
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