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Advisory Services Manager- Financial Services- Dat
Location : New York, New York City
Refer job # KLHC337068

Job Responsibilities and Requirements: The ideal candidate will have technical experience in building scalable distributed software on the cloud and at scale to transform enterprise business processes. While we focus a lot on banks, insurance companies and FinTechs, the group will have opportunities to support other sectors also including healthcare, automotive, high-tech, and media. We are looking for talented engineers, we will teach domain knowledge as needed for the right candidates. Your Key Responsibilities We're looking for a Data Engineer who can: Design and build data analysis pipelines and services Build and deploy data models to production environments Work with data scientists, frontend and backend engineers to develop cutting edge data centric applications Skills and attributes for success Ability to multitask and work in a fast-paced, collaborative team environment Ability to travel in accordance with client and other job requirements Excellent written and oral communication skills; writing, publishing and conference-level presentation skills a plus To qualify for the role you must have Bachelor s degree in Computer Science A minimum of 5 years experience in technology or a similar role 2 years experience deploying data models in a production setting Experience in Java, Python, R or Scala. (Production level coding) Capability to architect highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, HBase, Spark, Storm, ELK, etc. Familiar with at least one Machine Learning library/framework (scikit-learn, Mahoot, MLib, H2o, etc.). Proficiency in a deep learning framework is plus (Tensorflow, Keras, Theano, MXNet, etc.) Experience of designing scalable solutions with proficiency in use of data structures and algorithms Experience in cloud-based environment with PaaS & IaaS Work iteratively in a team with continuous collaboration Ideally, you'll also have Experience with the following technologies Tableau, QlickView Kafka/RabbitMQ Elastic Search Knowledge of the full Hadoop ecosystem including HDFS, MapReduce, YARN, Pig, Hive, HBase, Spark, Zookeeper, Oozie, Flume, Spark, Storm, etc. Data streaming technologies such as Spark streaming and Flink. Experience with SQL, NoSQL RDBMS (such as MongoDB, Cassandra, SQL, Neo4J) design, and methods for efficiently retrieving data. Desire to grow and learn other parts of the technology stack.



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