Expertise - Collaborate with Acceldata field sales, pre-sales, training and support teams to help partners and customers learn and use Acceldata Products.
Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Acceldata Product led Big Data Solutions.
Delivery - Engagements include short on-site projects proving the use of Acceldata Products and services to support and enhance Big Data computing solutions that often span on-premise, private cloud and public cloud services. Engagements may include migration of existing applications and development of new applications.
Drive GTM activities across BUs and Vertical as part of Analytics Grow Units across the data to Insights value chain and drive initiatives as the SPOC/Go to consultant for the portfolio.
GTM activities involve creating proactive propositions jointly with respective vertical, Domain and other service lines stakeholders and digital team, proactive account mining and proposal response and defense for large opportunities.
Create customer value propositions, proposal presentations and lead conversations in the respective portfolio and bring synergy along with other stakeholders.
You will be able to drive business decisions and press customers for requirements and to challenge current technology concepts
You will Participant in pre-sales activities – experience constructing SOWs, Change Orders, and have a working knowledge of invoicing
You will Experience forecasting project efforts and balancing commitments
Development of proposals for implementation and design of scalable big data architecture
Participation in customer's workshops and presentation of the proposed solution
Design, implement, and deploy high-performance, custom applications at scale on Hadoop
Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic
Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis
Defend proposed solution
Review and audit of existing solution, design and system architecture
Create technical documentation
Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra
Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Elastic MapReduce or Pivotal Cloud Foundry
Ability to travel up to 50%
Good exposure in BFSI, Telco space
Ability to engage and lead the discussion with customer
Implementation experience on building Data Lake
Highly technical and analytical, possessing 8+ years of IT platform implementation experience.
Fluent in Thai and English.