Vice President,
Data Engineering
Business Intelligence
Full Time
Published On: 27 Aug 2022
Velwire designs, builds and operates payment infrastructures, applications and services focused on facilitating real-time electronic payments for emerging economies. Our clients and partners include large-cap tech companies, financial institutions, public sector agencies and intergovernmental organizations.
This role will be closely managing the technology team to establish the vision, strategies, and execution plans of the company.
Job Description
  • Supervise the technology team to provide the direction received for the data engineering and architecture.
  • Create and maintain reusable and scalable analytics data pipelines that generates data and insight to power business decision making.
  • Understand the clients’ requirement and architect robust data platform on multiple cloud technologies.
  • Oversee the use of Cloud data services for development of Big Data Platforms.
  • Create reusable components for rapid development of data platform.
  • Deploy AI algorithms into the data platform to run predictive analytics at scale.
  • Work closely with the Product Owners and stakeholders to design the Technical Architecture for data platform to meet the requirements of the proposed solution.
  • Prepare standards for software engineering practices within the machine learning engineering team and support across other disciplines.
  • Choose and use the right analytical libraries, programming languages, and frameworks for each task.
  • Help the Data Engineering team produce high-quality code to put solutions into production.
  • Create and own the technical product backlogs for products and help the team to close the backlogs in right time.
  • Build a data engineering team at an early stage in the team’s evolution.
Our Desired Profile
  • Bachelor's degree in Computer Science or Engineering.
  • 8-10 years' experience in Data Engineering and in delivering Advance Analytics solution. Data Warehousing, Big Data or Cloud.
  • Strong foundation in software engineering principles and an architectural mindset.
  • Have strong coding skills in Java and Python.
  • Demonstrable knowledge of Structured Query Language and Relational Databases including (MySQL, Oracle, PostgreSQL).
  • Experience in authoring or reviewing system design documents for enterprise solutions.
  • Deep knowledge of testing frameworks and libraries.
  • Have solid working knowledge of ETL tools.
  • Excellent communication skills.