Job Description :
Skills & Experience Required:
Five years or more of work experience in developing technical and solutions architectures in the data analytics space
At least three years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative
Technical Architecture experience with big data technologies including Hortonworks Hadoop Data Platform, Greenplum, Cloudera, etc.
Coding experience utilizing common analytics tools/languages: (PIG, SQL, JAVA, PYTHON, R, etc)
Demonstrated ability to work across multiple deployment environments including [cloud, on-premises and hybrid], multiple operating systems and through containerization techniques such as [Docker, Kubernetes, AWS Elastic Container Service and others]
Big data infrastructure experience and deep familiarity with enterprise architecture best practices
Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse, and automation of data flows between data managers and consumers across an organization
Basic experience working with popular data discovery, analytics and BI software tools like [Tableau, Qlik, PowerBI, and others] for semantic-layer-based data discovery
Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization
Skills & Experience Preferred (Nice to Have):
A master''s degree or Ph.D. in computer science, data management, information systems, information science or a related quantitative field [or equivalent work experience] is required.
Strong experience in working with both open-source and commercial message queuing technologies [such as Kafka, JMS, Azure Service Bus, Amazon Simple Queuing Service, others], stream data integration technologies such as [Apache Nifi, Apache Beam, Apache Kafka Streams, Amazon Kinesis, others] and stream analytics technologies such as [Apache Kafka KSQL Apache Spark Streaming Apache Samza, others]
Experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
Education Required:
Bachelor''s degree in computer science, data management, information systems, information science or a related quantitative field or equivalent work experience is required.