About Ambrosia Infotech Inc

Ambrosia Infotech Inc is a staffing and recruiting company.

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Big Data Architect← All Jobs

2016-02-11 | NYC, NY | Market | 12 Months+ Contract


• 5+ years of experience coding in Java, Python, or Scala, with solid CS fundamentals including data structure and algorithm design.
• 4+ years contributing to R&D and production deployments of large backend data processing and analysis systems.
• 3+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as Hbase and Cassandra.
• 3+ years of experience standing up and automating the deployment of solutions in AWS using the AWS CLI, with a focus on EMR, EC2, S3, EBS, Redshift, Dynamo, VPCs.
• Knowledge of SQL and MPP databases (e.g. Vertica, Netezza, Greenplum, Aster Data).
• Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience participating in an Agile software development team, e.g. SCRUM.
• Experience designing, documenting, and defending designs for key components in large distributed computing systems.
• A consistent track record of delivering exceptionally high quality software on large, complex, cross-functional projects.
• Demonstrated ability to learn new technologies quickly and independently.
• Demonstrated ability to achieve stretch goals in a very innovative and fast paced environment.
• Ability to handle multiple competing priorities in a fast-paced environment.
• Strong knowledge of Linux, OS tools and internals, network and file system level troubleshooting.
• Excellent verbal and written communication skills, especially in technical communications.
• Strong inter-personal skills and a desire to work collaboratively.
• Undergraduate degree in Computer Science or Engineering from a top CS program required. Masters preferred.
• Experience with supporting data scientists and complex statistical use cases highly desirable.


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