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 , Hadoop 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.