based or SaaS products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI More ❯
security, configuration, and management Database design, setup, and administration (DBA) experience with Sybase, Oracle, or UDB Big data systems: Hadoop, Snowflake, NoSQL, HBase, HDFS, MapReduce Web and Mobile technologies, digital workflow tools Site reliability engineering and runtime operational tools (agent-based technologies) and processes (capacity, change and incident management, job More ❯
Java programming; can independently prototype solutions to problems. Experience with Recommender System, NLP and Machine Learning libraries. Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required. Unix skills. Experience with start-up and R&D environments. Strong presentation skills in communicating with experts More ❯
years' industry experience maintaining a code base written in a high-level object-oriented language; formal studies or industry experience in distributed computing (e.g., MapReduce, Hadoop, AWS, DHTs, etc.); industry experience working with very large datasets; familiarity with parallel programming or parallel algorithms development; familiarity with machine learning concepts, data … Mathematics, Engineering); 2+ years' industry experience maintaining a code base written in a high-level object-oriented language; industry experience in distributed computing (e.g., MapReduce, Hadoop, AWS, DHTs, etc.); industry experience working with very large datasets; experience with parallel programming or parallel algorithms development; experience with machine learning concepts, data More ❯
