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Salary
≈ $23k – $46k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026. GoTymeX scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Founded in 2016, GoTymeX (formerly TymeX) is the global product, technology, and software development hub for digital banking enterprise Tyme Group. Headquartered in Ho Chi Minh City, Vietnam, the company specializes in engineering reusable, cloud-native banking platforms, microservices architectures, data analytics infrastructure, and AI-driven customer interaction systems. By building scalable financial software assets that can be rapidly deployed and localized across emerging markets - including South Africa and the Philippines - the organization enables digital retail banks to lower operating costs, accelerate feature rollouts, and scale multi-country banking services.

GoTymeX is building some of world's fastest growing digital banks and the data team plays a key role in driving the bank’s vision of creating a platform that stimulates economic participation and facilitates broader financial inclusion by implementing creative best in class data and analytic solutions to achieve success in providing quality services and products to our customers and optimising the business.

As a Senior Data Engineer you will contribute to the mission by creating solutions that will directly support informed decision-making and innovation by providing clean, protected, quality and auditable data from various sources into fit for purpose data products.

In this role, you can expect to:

  • Design, develop, test, deploy and monitor data pipelines in Databricks on AWS from a wide variety of data sources.
  • Design, develop, test, deploy and monitor scalable code with PySpark and SQL in Databricks.
  • Identify opportunities to improve internal process through code optimisation and automation.
  • Build data quality dashboards, lineage flows / and or monitoring tools to utilize the data pipeline, providing active monitoring and actionable insight into overall data quality and data governance.
  • Assist in migrating data from legacy systems onto newly developed solutions.
  • Follow and lead best practices on all data security, retention, and privacy policies.

Requirements

  • Bachelor’s degree.
  • 3+ years’ experience of building ETL/ELT pipelines.
  • Proven competency in solution design, development, implementation, reporting and analysis.
  • Proficiency in Apache-Spark, Python and SQL languages.
  • Proficiency in working with Text, Delta, Parquet, JSON, CSV, and XML data formats.
  • Working knowledge of Spark structured streaming.
  • AWS infrastructure experience, specifically working with S3.
  • Solid understanding of git-based version control, DevOps, and CI/CD. Experience of working on Atlassian stack a plus.
  • Knowledge of common web API frameworks and web services.
  • Strong teamwork, relationship, and client management skills, and the ability to influence peers and senior management to accomplish team goals.
  • Willingness to embrace modern technology, best practice, and ways of work.
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