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Mynt

Data Engineer, Manager

Mynt National Capital District, Philippines

Financial Services · 501-1,000 employees

Oct 14
data-engineer Senior (5-10 yrs) Full-time Philippines
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About the role

The manager will oversee data warehousing platforms, define engineering standards, and lead a team of data engineers. They are responsible for ensuring data quality, reliability, and security while managing team performance and capacity.

What they look for

SQL Data modeling ETL development Data warehousing Big data technologies Python Ruby Scala Java Team management Capacity management Budget management Data security System knowledge management Mentoring

Requirements

Candidates must have at least 5 years of experience in SQL, data modeling, and large-scale data transformation using big data technologies. Proven leadership experience in managing engineering talent and proficiency in a modern programming language are required.

Benefits

Competitive compensation package Flexible compensation package Career growth and development opportunities

Full description

Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!

Responsibilities

  • Manage existing data resources and introduce technologies and tooling that advance data warehousing, science, analytics, and scalable data sharing.
  • Own data environments (e.g., data warehouse and data-sharing platforms), with the capacity to contribute hands-on development when needed.
  • Oversee the design of data usage processes that support teams across the organization.
  • Gather and clarify requirements through direct engagement with business, science, and software development stakeholders.
  • Define and uphold Data Warehousing Engineering Standards & Practices covering versioning, readability, functionality, extensibility, data quality, test results, deployment, post-deployment, and hypercare.
  • Lead system knowledge management, as well as team resourcing, performance management, and capacity management (e.g., hiring, onboarding/bootcamps, career development, KPI monitoring).
  • Ensure data domain quality and reliability, including uptime for automation jobs and data pipelines.
  • Enforce data security practices across pipelines.
  • Manage data and report migration activities as required.

Deliverables / Outcomes

  • Quality, reliable, and timely data for end users
  • Data warehousing platform uptime
  • Project and BAU delivery for the team
  • Documented Data Warehousing Engineering Standards & Practices
  • System knowledge management
  • Documentation for team resourcing, performance management, and capacity management

Qualifications

  • 5+ years of demonstrated strength in SQL, data modeling, ETL development, and data warehousing
  • 5+ years maintaining data warehouses and performing large-scale data transformation using EMR, Hadoop, Hive, or comparable big data technologies
  • Experience mentoring and managing data engineers
  • Experience with hardware provisioning, capacity forecasting, and budget management
  • Proven ability to communicate outcomes in writing and to engage effectively with both business and technical audiences
  • Track record of leading, managing, and hiring strong engineering talent
  • Proficiency in at least one modern programming language (e.g., Python, Ruby, Scala, or Java)

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package

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