Technical / Functional Skills

• Strong Python Development Experience is mandatory
• 5 + 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.