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6 дней назад

Data Developer (PySpark)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Data Developer (PySpark): Designing and operating data pipelines on modern cloud platforms to transform raw vendor data into production-ready financial datasets with an accent on scalability, reliability, and accuracy. Focus on building PySpark workflows in Databricks and integrating global financial data feeds.

Location: Singapore (Hybrid)

Company

hirify.global provides enterprise data management solutions to the global investment community, powering intelligence for over US$75 trillion in assets under management.

What you will do

  • Build and maintain scalable data pipelines using Databricks and PySpark to ingest and transform financial datasets.
  • Ensure datasets are accurate, consistent, and validated for downstream analytics and reporting.
  • Integrate and manage data from global vendors, adapting to feed changes and evolving requirements.
  • Translate business and client requirements into robust, production-ready data workflows.
  • Collaborate with product and client teams to deliver data outputs within agreed timelines.
  • Operate within structured processes and tooling to ensure traceability and operational resilience.

Requirements

  • Strong programming skills in Python and PySpark.
  • Hands-on experience with Databricks or similar distributed data processing platforms.
  • Degree in a technical discipline such as Engineering, Computer Science, or Mathematics.
  • At least 1 year of experience working with data in a technical or project-based context.
  • Experience with data transformation and validation of structured or semi-structured data.
  • Familiarity with version control systems such as Git.

Nice to have

  • Experience with SQL and data lake / lakehouse architectures.
  • Familiarity with Parquet, XML, and API-based ingestion.
  • Exposure to platforms like Snowflake or Palantir Foundry.
  • Understanding of financial markets or financial datasets.
  • Experience using Excel for data analysis or progress toward a CFA qualification.

Culture & Benefits

  • Flexible hybrid work environment.
  • Private Health Insurance, including coverage for eligible dependents.
  • 23 days of annual leave.
  • Access to an Employee Assistance Programme.

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