Data Engineer

PT. Intikom Berlian Mustika (Jakarta, Indonesia)

DKI Jakarta, Indonesia

PT Intikom Berlian Mustika was officially established in 1 April 1990. This national company majors in Information and Communications Technology Solutions and Services. Intikom works in partnerships with the world’s leading companies to provide a comprehensive range of IT services and products for a broad client base. Its main services and products are consultancy, software customization & implementation assistance, education & training, software and hardware, system integration, e-commerce, networking and communication, IT Security and maintenance service. Intikom integrates its in-house application software and product for video recording , named Stream (finance, property, payroll, etc) and IVR for voice recording. Intikom special focus is on banking, finance, manufacturing, distribution, hospital, pharmaceutical, chemical, insurance, retail, automotive, and mining industries--both for government and private sector.

About this position

The Data Engineer position involves analyzing and organizing raw data, building data systems and pipelines, and conducting complex data analysis to support business needs and objectives.

Responsibilities

• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.

Requirements

• Degree in Computer Science, IT, or similar field.
• Previous experience as a data engineer or in a similar role for 3+ years.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (e.g. Java and Python).
• Hands-on experience with SQL database design.
• Great numerical and analytical skills.
• Willing to be placed in a banking or financial company.