Вакансія Data Engineer

Skills

• Python
• Scala
• SQL
• AWS

Опис вакансії

On behalf of our Client from Japan, Mobilunity is looking for a Data Engineer for a long-term engagement.

About project:

Our client is a fast-growing fintech company based in Tokyo. The company offers its real-time monthly consolidated credit service all across Japan. Our client started Japan’s first instant post-pay credit service for e-commerce customers in October 2014. The main product is an online payment platform which requires no pre-registration or credit card to use; via this service the customers can purchase products online using only a mobile phone number and email address and settle a single monthly bill for all their purchases, either at a convenience store, by bank transfer or auto debit. Customers can use credit funds during a month and then return the balance to zero without paying credit interests.
This service also supports multi-pay installments and subscriptions. There are currently over 4 million accounts in use. This service got the largest investment to date in the Japanese financial tech industry, including PayPal Ventures investment.
We are looking for a Data Engineer, reporting to the Head of Data Platform Engineering, who will work closely with product engineers and business stakeholders to turn data into information. From which insights can be provided back to product and business leaders to inform our product design and features. Your responsibilities will include conducting full lifecycle analysis to include requirements, task and design(s). You will develop both analysis on source data systems as well as support reporting activities and capabilities. Our ambition is to be a Data Driven firm and you will assist in this endeavor in part by monitoring performance of source domain data systems, cleansing and identifying improvements.

Key Role and Responsibilities:

• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement systems to analyze, report, and present data for use by other systems and human stakeholders.
• Review, understand, and improve existing reporting systems to optimize performance, add new functionality, and verify correctness.
• Work with the Data Integration team and stakeholders to understand reporting requirements, identify necessary data, and determine additional options for improvement.
• Identify, analyze, and interpret trends or patterns in product domains in source data systems.
• Ensure data quality and correctness, to meet government regulatory standards.

Requirements:

• Over 3 years of experience leveraging data to drive business outcomes, with additional expertise in reporting related to user credit, collections, and finance considered a strong plus.
• Deep domain knowledge in data, with hands-on experience in data layering, data modeling, data mining, and other end-to-end data implementation practices.
• Skilled in designing and developing efficient data processing workflows to extract valuable insights from both structured and unstructured data, enabling data-driven decision-making.
• Familiar with widely used data warehouse tools, with practical experience in working with both relational and non-relational database systems.
• Strong programming skills in Python, Scala, or other languages, combined with solid SQL optimization capabilities; experience with AWS services is a plus.
• Possesses strong data intuition, analytical thinking, and excellent communication and cross-functional collaboration skills.
• Level of English – Upper-Intermediate and higher.