Expertise in database architectures, software, and facilities Expertise with programming languages- Python (required), Scala, Ruby, R Database technologies- SQL, performance tuning concepts, AWS RDS, RedShift, MySQL Expertise with big data batch processing tools: Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR Expertise with stream-processing systems: Kinesis, Kafka, MQTT Expertise with relational NoSQL databases including DyanamoDB Expertise in writing JSON, XML, YAML and other data definition schemas Excellent verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management. What you will be doing: Data Operations Lead the creation of data environments and/or data sets to serve a wide range of data users, including but not limited to Data Scientists, Data Analysts, Business Analysts etc.