Cloud Computing: Accenture cloud platform, Amazon Web Services, Azure, GCP Cloud Architecture, Google cloud, IBM Infosphere Information Server, IBM Infosphere Warehouse Edition, Mulesoft CloudHub, Oracle Cloud, Red Hat Cloud
Data Access Tools: Azure Data Explorer, Azure Stream Analytics, MS SQL Server Management Studio, SQL Developer, TOAD
Data Modelling Tools: Erwin, Excel, Power Designer, Sparx, Visio
Distributed Systems: Azure ADLS Gen 2, Databricks, Hadoop, HDFS, Kafka, MapReduce/Hive, Spark, Storm, Zookeeper
Enterprise Architecture Tools: Spark Enterprise Architect
Graph Databases: AWS DynamoDB, Azure Cosmos, DataStax Enterprise Graph, IBM Graph, InfiniteGraph, Neo4j, Teradata Aster, Titan
Hadoop Distributions: Azure Databricks, Cloudera, Hortonworks, MAPR
In Memory Databases: SAP HANA
NoSQL Columnar Stores: Accumulo, AWS RedShift, Cassandra, Druid, HBase, Vertica
NoSQL Document Stores: Apache CouchDB, ArangoDB, Clusterpoint, Couchbase, DocumentDB, Elastics Search, IBM Domino, MarkLogic, MongoDB, OrientDB, Qizx, RethinkDB, Sharepoint
NoSQL Key Value Pair Data Stores: Aerospike, DovetailDB, Dynamo, Dynomite, Flare, Hyperdex, Keyspace, MotionDb, Oracle NoSQL Database, Quasardb, RAMCloud, Riak, SchemaFree, SubRecord, Voldemort
Relational MMP Databases: Netezza, Teredata
Relational SMP Databases: Azure SQL PaaS, IBM DB2, MySQL, Oracle, PostgreSQL, SQL Server
MUST HAVE - Python, R, Design and test AI algos, models.
Experience: 5 year experience in AI modelling