Data Platform Engineer

3 weeks ago


Manila, National Capital Region, Philippines GCash Full time

Do you want to take the first step in making Filipinos' lives better every day? 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

Who you'll be working with:

If you have a strong background in IT, computer science, or software engineering, and are analytical, technologically savvy, solutions and process-focused, then the Technology & Operations team may be for you

You'll be responsible for the following:

  • Implementing and managing tools and applications that enhance productivity and user experience on enterprise data platforms such as data access management tools, metadata management tools (including data catalogs and lineage tracking), and data quality monitoring tools.
  • Configuring and implementing security modules of enterprise data platforms to ensure controlled and encrypted network access, encrypted storage, data masking, and data integrity, including data validation, quality checks, integrity constraints, and checksums/hashing for accuracy and trustworthiness.
  • Developing and maintaining the data lifecycle management, specifically backup, archiving, recovery, and purging data from enterprise data platforms.
  • Proactively identifying and implementing API-driven automation solutions to streamline data security, access controls, metadata management, and data lifecycle management processes on enterprise data platforms.
  • Collaborating with diverse stakeholders and effectively communicating technical concepts to both technical and non-technical audiences.
We're looking for:
  • Bachelor's degree in computer science, information management, or a related field. At least 2 to 3 years of experience in data management and governance practices such as metadata management, data lifecycle management, data quality management, and master data management.
  • Familiarity with data management technologies and tools, including data governance platforms, metadata management systems, data quality tools, and master data management solutions.
  • Experience working with SQL and Python is required.
  • Experience working with Enterprise Data Warehouse platforms preferred.
  • Experience working with Data Lake, Streaming & Big Data technologies preferred.
  • Experience working with cloud data platforms (AWS or Alibaba Cloud) preferred.
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 a highly competitive and flexible compensation and benefits package.
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