Staff Engineer job in Phoenix, AZ| Recruit Arrow
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Title
Staff Engineer
Location : Arizona, Phoenix
Refer job # TSXS340765
 
Job Responsibilities and Requirements: Responsibilities: Develop strategies around data assets pertaining to GCS & GMS Sales and Marketing Lead engineering teams in implementing solutions related to Enterprise Platform data sourcing & data distribution Setup Platform level data integration framework that can support platform s real-time and batch data needs Perform rapid POCs to experiment and build rails for the engineering team around Big Data technologies Establish Enterprise platform Integration & Data blueprint. Develop framework for centric Machine Learning models and implement AI/ML legos that will be an accelerator for intelligence driven Sales & Marketing Actively participate in team and platform-wide architecture and engineering discussions. Drive both high level and detailed design and conduct design reviews Communicate to platform leaders with regard to data strategy direction and models being developed Mentor engineers and system architects to ensure technology complexities are understood very clearly to implement data & Big Data solutions expeditiously with high quality 60% hands-on coding, delivery and 40% strategy/blueprint development 10 or more years of strong hands on experience in Java and experience with backend and middle ware processing Extensive experience in designing and implementing big data solutions. Good hands-on experience in development and familiarity with ecosystem including Sales Cloud, Servicing Cloud, Marketing Cloud, Heroku to name a few Experience with micro services architectures, batch and real time application development on big data environment Hands on experience in Big Data technologies, including but not limited to Hadoop, Map-R, Hive, Spark, Scala, Zookeeper to name a few Proven experience in multiple Database technologies like Oracle/SQL Server/UDB, NoSQL databases like Mongo, Couchbase, Cassandra, Elasticsearch, Solr, Jethro. Proficient knowledge in the following environments is preferred: Java, Jenkins, docker, Kubernates, OpenShift, Kafka, APIGEE, Integration Solutions like Mulesoft, Informatica Cloud, , Tableau Hands on experience in building products powered by Artificial Intelligence and Machine Learning with good knowledge on some of the ML development environment like Python, R Strong written, verbal communications, presentation skills, leadership, problem solving and analytical skills. Proven collaboration skills along with the ability to influence without authority Bachelor s Degree in Computer Science, Computer Science Engineering, or related field required; Advanced Degree preferred.
 
 
 
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