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Data Engineer

Data Engineering

Our Mission

Our goal is for everyone to make bolder choices with their finances.

To get there, we're creating an all-in-one ecosystem of financial services for today's generation of goal-getters. That feat takes extraordinary people-those with the guts to challenge the way things are and transform them into something better.

To be part of Team Maya is to be Bolder for Better.
Description: 

The Data Engineer is responsible for the creation, maintenance, and continuous improvement of data pipelines. Part of his/her responsibilities are to implement best practices in data management practices (i.e., cleaning, validation, and transformation of data) make data into usable datasets that can easily be consumed by other teams. 

This role will also work closely with the software engineers, data analysts, data scientists and data governance to understand how the data behaves in its respective domain, to clarify business and technical requirements on different data use cases, and to design and create efficient and reliable data pipelines.

Within Data Engineering, this person will learn and adopt best practices on data management, data architecture design, and DataOps principles. May it be in Central DE or Distributed DE, a Data engineer is crucial in creating value for downstream teams that use data. 

 

NATURE OF WORK

The Data Engineer works on existing data pipelines, including development of data models, and data management may it be in a data warehouse, data/delta lake or lakehouse. Collaboratively works with upstream teams (e.g. Mesh Teams) that pass data to the data architecture and with downstream teams that use data within it. He/She can understand the existing technology choices and consistently complies with the DE Standard. 

Central DE: A Data Engineer in Central DE helps in the maintenance of the overall data architecture. Ensuring its scalability, high availability, on-time data ingestions and ensure operations are not disrupted. He/She will build data pipelines as new data comes in, applying best practices and DataOps principles.

Distributed DE: A Data Engineer in Distributed DE acquires and maintains an in-depth domain knowledge of the data within the assigned scope. This domain knowledge is crucial in the creation of data models and development of the said data models for Zone 2 and Zone 3 data (a.k.a. silver and gold layer, respectively). This expertise ensures that DE-transformed business datasets are usable for downstream teams.

Qualifications

 

 

  • Good working knowledge on Shell (e.g. bash, zsh) scripting
  • Good working knowledge on data manipulation (SQL statements, JSON, NOSQL query, etc.)
  • Good working knowledge on AWS services (EC2, S3, Glue Crawlers, Jobs, Batch, Athena, Lambda, etc.) or equivalent cloud offerings a big plus
  • Good working knowledge on Apache Spark using SQL/Python
  • Good understanding of the concepts of Datawarehouse, Data Lake/Delta Lake and/or Lakehouse
  • Ability to work with other Leads to foster a culture of collaboration and teamwork

 

 

Required Skills

 

 

Central DE:

 

 

  • Good knowledge on Linux/Unix Administration
  • CI/CD experience using Terraform a big plus

 

 

Distributed DE:

  • Good working knowledge on data modeling

 

About Us

Maya is the all-in-one money platform that is bringing Filipinos bolder ways to master their money. It is powered by a unique integrated financial services ecosystem that addresses the ever-evolving needs of today’s generation of money makers through cutting edge technology. 

We lead millions of Filipinos — consumers, businesses, communities, and government agencies alike — into a version of the current digital economy that’s more inclusive, transparent, and empowering than ever. 

We are powered by the country's only end-to-end digital payments company Maya Philippines, Inc. and Maya Bank, Inc. for digital banking services. 

Maya Bank, Inc. and Maya Philippines, Inc. are regulated by the Bangko Sentral ng Pilipinas. https://www.bsp.gov.ph/

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