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. Position: Senior Data Engineer – (Hadoop/Big Data, AWS, Python, Kinesis) Location: Irvine, CA - Onsite role Position Type: Contract to Hire Responsibilities You will be responsible for all aspects of data acquisition, data transformation, analytics scheduling and operationalization to drive high-visibility, cross-division outcomes.