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Google Cloud Platform Data Architect

Salary undisclosed

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  • Strong Python Development Experience is mandatory
  • 6-8 years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies
  • Demonstrable knowledge & Experience using Google Cloud Big Query is mandatory
  • Experience with DataProc & DataFlows with Java on Google Cloud Platform is highly desired
  • Experience with serverless data warehousing concepts on Google Cloud is highly desired
  • Experience with DWBI modelling framework is highly regarded
  • Extensive experience working with SQL across a variety of databases
  • Experience working with both structured and unstructured data sources using cloud analytics (Cloudera , Hadoopo etc.)
  • Experience with Data Mapping and Modelling
  • Experience with Data Analytics tools
  • Proven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, R, UNIX Shell, php, ruby.
  • Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table
  • Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.
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