My client is looking for following talents who must have in-depth technical experience in it:

• Demonstrate expertise across multiple data and database technologies including modern digital technologies, such as
  • Datalake, Hadoop, HDFS, HDP, Apache suite especially Kafka, Storm, Spark, YARN, Atlas, Sqoop, Hive, Orc etc.;
  • Data Security – Knox, Ranger, encryption technologies;
  • Search: Elastic Search, Mapreduce
  • Open source tools and data bases, e.g. Grafana, Kibana/ELK, Prometheus, Open TSB, Zabbix, Nagios, etc.;
  • Database: SQL, Time series database, No SQL (Cassandra, mongo DB, HBase, MapR, etc.)
  • Programming languages: Python, R, java, C, SQL
• Public cloud data platforms especially Google, Azure or AWS
• Display technical experience of data tools, meta data management, search & discovery, streaming, data virtualization and discovery, and security
• Display experience of data models, blending, structured and unstructured data, distributed database technologies, and data sharding
• Display experience in implementing a data driven culture and achievements using analytics to lift KPIs
• Models: Statistical models and/or data models
• Architecture and technology Strategy: data roadmap, capability of evolution and growth
• Others: Data governance, quality, security, integration, virtualization; ML-Go Haskell
• Good spoken and written English; Cantonese and Mandarin is a plus

Data Scientist
Skill Requirement:

• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, game theory, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Can work with both structured and unstructured data.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

• Degree holder in Data Science, Computer Engineering, Information Technology, Statistics or related disciplines.
• Minimum 3 - 4 years of experience in customer analytic, data warehouse and BI platform, preferably in telecommunication industry.
• Proficient in data analytics design and segmentation with PL/SQL, MS SQL and Python coding or correlation platform.
• Knowledge, skills and experience in system design and development with all / some of the following technologies:
• Operating System: Windows, Linux, IBM AIX;
• Database / Network: Oracle, MySQL, MS SQL;
• Programming Language: Java, JavaEE - Web, Website building (e.g. PHP, JavaScript & AngularJS - Jquery, Ajax), APEX, Python, Ruby;
• Must have at least 3 years experiences in Oracle OBIEE
• Others: BI tools: OBIEE / Discoverer, ETL: ODI, Oracle Weblogic, Web Security, Big-Data tool, like Hadoop / Splunk;
• Exposure in Design pattern, Java applications Framework would be an advantage.
• Strong communication and coordination skills, Self-motivated with analytical and problem solving capability.
• Good command of written and spoken Chinese and English and proficient in Mandarin.
• Candidate with less experience will be considered as Assistant Data Analyst.

 Interested Parties can send in application with expected salary and availability.

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