CODE.ID was previously a business unit of INTEGRASI, a system integrator that also provided software services established in 1999. In 2014, CODE.ID becomes an independently run company which currently has around 100 passionate developers with a myriad numbers of skill sets.
CODE.ID has been established since 1999 and became a publicly listed company in Jakarta Stock Exchange in 2001 - as PT Integrasi Teknologi Tbk. It was back to be a private company in 2007.
**Our Success Stories**:
**Responsibilities**:
Collaborate with sales team to understand customer requirements related to big data and analytics
Analyze customer data landscape and develop solutions that address their specific needs and objectives
Lead solution architecture discussions with customers, including data modeling, data integration, data processing, and analytics capabilities
Create proposals and proof-of-concept (POC) to showcase the solutions
Present the proposed solutions through effective presentations and demonstrations
Estimates the required timeline and manpower for the implementation of the solutions
Work closely with project management and engineering teams to provide feedback on product features, enhancements, and roadmap based on customer requirements
Stay updated on industry trends, emerging technologies, and competitive landscape in the big data and analytics
Years of experience in a presales and technical consulting role, with a focus on big data and analytics solutions
Deep understanding of big data technologies and platforms, such as Hadoop, Spark, data warehouses, data lakes, AWS, Azure or GCP big data services, or other technologies related to big data and analytics
Strong knowledge of data analytics tools and techniques, including machine learning, descriptive, predictive and prescriptive modeling, and data visualization
Proven track record on successfully delivering presales supports
Strong analytical and problem-solving skills to understand customer requirements and develop innovative solutions
Excellent communication and presentation skills to communicate technical concepts to both technical and non-technical audiences
Experience and have ability to prioritize and handle multiple prospects simultaneously
Relevant certifications in big data and analytics technologies (e.g., Cloudera, AWS, Azure, GCP) are a plus