Responsibilities:

• Lead in building, deployment, and sustainance of mission critical enterprise data fabric (data lake) to support contextual decision making 
• Design, code, configurations, and document components that manage data ingestion, real time streaming, batch processing across heterogeneous data repositories – legacy, hadoop, nosql, relational, internal and external ..…
• Devise context driven data roadmap following an architectural roadmao to support predicitve analytics 
• Recommend, evaluate new tools, platform for adoption to achieve advanced analytics through machine learning
• Achieve goals of functionality, performance, availability, scalability, and reliability
• Support entire development life-cycle to secure timely delivery
• Hands on expertise in Agile, SCRUM and other development systems life-cycles

Requirements

• Expertise in enterpise data modeling to support data lakes 
• Masters degree with sufficient subject matter expertise in healthcare, financial services or retail
• 5+ years software development experience in one or more of Python, SQL and/or javascript
• Deep understanding of machine learning techniques and statistical analysis
• Solid understanding of pattern recognition / predictive analysis/ data mining / expert system concepts.
• Hands on experience in Python, SQL and other programming languages
• Good inter-personal, presentation and communication skills (special skills encouraged).
• Ability to juggle multiple projects and priorities while working in complex, highly matrixed teams
• Quick learner, proactive leader with innovative zeal to explore the unknown

Good to have:

• Experience in using data modeling tools
• Years of Java or Python experience with data structure , and architecture design
• Understanding of new technologies, and legacy environment
• 3+ years of experience designing and implementing Spark, Hadoop, Map Reduce, YARN, Hive, Kafka, Avro, SQL and NoSQL data warehouses or
• Experience standing up and deploying solutions on top of the AWS technologies: EMR, EC2, S3, Redshift, Dynamo, Kinesis.
• Leader of big data architectures and component designs, assess feasibility tradeoffs, creating POCs using new technologies based on business needs
• Exposure to SQL and MPP databases (e.g. Vertica, Netezza, Greenplum, Aster Data).
• Undergraduate degree in Computer Science or Engineering from a top CS program required. Masters preferred.
• A TEAM PLAYER, DILIGENT, AND PROACTIVE CONTRIBUTOR

Cueris is an Equal Opportunity Affirmative Action employer