Job Description
Big Data Pre-Sale Engineer (40K - 60K) (SDG-52339) <Job Responsibilities> Create customer value propositions, proposal presentations and lead conversations in the respective portfolio and bring synergy along with other stakeholders Experience on Hadoop distribution Cloudera, MapR etc. along with Kafka, Spark, Hive, Pig, Sqoop, Storm, MapReduce, Pig, HBase, Oozie, Mahout, Flume, Zookeeper, MongoDB, Cassandra Development of proposals for implementation and design of scalable big data architecture Define network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic Review and audit of existing solution, design and system architecture Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis Visit client with Sales team <Necessary Skill / Experience > Thai nationality , Male / Female, age 28-35 years old Bachelor's degree Experience in Software , network and pre - sales Knowledge of "Python" is MUST Team work Able to communicate in English (with Vendor and Manager) Ability to connect with businesses and enable customer in consuming actionable insights Ability to conceptualise Analytics Solution and leverage subordinate to scale-up analytics outcomes
Job Requirement
Understand ; Languages: Python/R/Java/Scala, SQL Databases/NoSQL: MySQL/Oracle DB/InfluxDb/Hbase/Cassandra/MongoDB/DynamoDB etc Data warehousing: SQL DW, Redshift, Snowflake, Panoply etc Big Data Technologies: Hadoop, Kafka, Map Reduce, Hive, Spark, Sqoop, Flume etc. Cloud: Amazon AWS/Microsoft Azure/Google Cloud/ IBM ICP etc. Data Visualization: D3 Javascript /Tableau/ Power BI/ Grafana/ Kibana/Looker etc <Preferable Skill / Experience> Experience as telecom technologies – Metro Ethernet, IP Core services, network backbone Experience as business process SME at telco service provider Experience as service provisioning team member at telco service provider Knowledge/experience in the following concepts and technologies: Docker; NFV Cloud, SDN, Cassandra, Apache Ignite, Kafka, REST API, Microservices, Big Data, Machine Learning Languages skills English: Conversational Level Japanese: None Workplace Area: BTS Chonnonsri, Bangkok Working Hour: 8:30-17:30(*flexible time from 7:30 – 9:00 and count 9 hrs.*) About the Benefits Salary: 40,000–60,000THB About the company Products: security, telecommunications & networking, computers & server, multimedia Products, and outsourcing services Business Type: General / IT Services