Remote Technical Lead, Data Engineering

About the Data Engineering Team provides the technical service around the company’s business data and information, and its derivatives. This service is a crucial as part of the Paidy’s external service and internal business intelligence.

The Team provides services including capturing datasets from any business activities, performing curation, ensuring its availability, deriving strategy and implementing solution covering integrity, resilience and scalability. In addition, by assisting business initiatives on data analytics and reporting.

As per the component stack, the Data Engineering & Reporting Team and its services will depend on most, if not all activities within Paidy.

Purpose of the role

The Data Engineer Tech Lead should be able to understand the business, technical requirements and implement solutions accordingly. (S)he should also have hands on experience in application development, in-depth knowledge in programming languages and data storage technologies. The Tech Lead should also have experience leading a team of 3 or more people.

Responsibilities

• Support the well-being of deployed data services.
• Enhance the operation and monitoring facilities.
• Implement scalable data pipeline from various Paidy platforms, data warehouse, or 3rd party services.
• Follow business or technical initiatives, implement data solutions accordingly.
• Being domain expert in data semantic, provide advisory on business intelligence requests.
• Manage reporting facilities; implement and promote self-service reporting tool.
• Perform evaluation of technology, POC and feasibility analysis.
• Support and manage a growing team of Data Engineers

Experience needed

• A bachelor’s degree in computer science, Information Technology or a related subject
• 5+ years of experience in software development.
• Strong software development skills in OOP languages.
• Good knowledge of resources constraints analysis and performing tuning.
• Good knowledge of data structures.
• Strong knowledge and experience on various RDMS, NoSQL and big data platform.
• Able to follow SDLC methodologies, deliver proper documentation.
• Effective communication skills, able to communicate project status and problem effectively.
• Creative yet detail oriented, good at solving problems and deriving solutions.
• Willing to work in a dynamic environment and pick up new technologies.
• Experience leading a team of 3 or more engineers

Extras

Paidy team will ask about your user experiences with Paidy Apps during the interview. Please download Paidy App and try it out!

• iOS: https://apps.apple.com/jp/app/paidy/id1220373112
• Android: https://play.google.com/store/apps/details?id=com.paidy.paidy&hl=en&gl=US

For those who are not able to download Paidy App, due to the regional restrictions, please be advised that you download the similar App, such as Klarna, Afterpay, Affirm and so forth, and come up with your opinions on these applications and services.