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3 дня назад

Data Engineer Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer Data Engineer (AWS/Databricks): Building and optimizing scalable batch and streaming data pipelines for a fintech lending platform with an accent on lakehouse architecture, data quality, and production-grade transformations. Focus on implementing Medallion data models, incremental and CDC patterns, ETL/ELT orchestration, and reliable CI/CD-enabled data workflows.

Location: Hybrid in Manila or Cebu, Philippines

Company

hirify.global is a fintech lender providing digital property-equity financing and Buy Now, Sell Later solutions for Australian homeowners.

What you will do

  • Design, develop, and optimize scalable batch and streaming data pipelines using AWS and Databricks.
  • Implement data models, transformations, ingestion frameworks, and Medallion architecture across Bronze, Silver, and Gold layers.
  • Manage ETL/ELT orchestration with Azure Data Factory, Fabric Pipelines, or equivalent tools.
  • Develop high-performance SQL queries and analytical models for reporting and analytics.
  • Ensure data quality, reliability, lineage, monitoring, testing, and documentation.
  • Collaborate with data scientists, analysts, engineers, and business stakeholders while applying Git, CI/CD, modular design, testing, and automation practices.

Requirements

  • 3–5+ years of experience in data engineering across batch and streaming workloads.
  • Strong Python skills, including NumPy, Pandas, and related data-processing libraries.
  • Strong SQL skills for production-grade transformations and analytical models.
  • Hands-on AWS and Databricks experience, especially with Delta Lake or lakehouse environments.
  • Understanding of Star and Snowflake data modeling, Medallion architecture, and incremental or CDC design patterns.
  • Experience with ETL/ELT orchestration and proficient Git usage, including branching strategies and CI/CD integration.

Nice to have

  • Experience with AI-assisted development tools such as Cursor or GitHub Claude.
  • Exposure to Power BI, Fabric Data Warehouse, semantic models, and DAX.
  • Knowledge of data governance, lineage, data quality frameworks, DevOps, and cloud cost optimization.
  • Experience integrating machine learning models or LLM-based workflows into data pipelines.

Culture & Benefits

  • Work in an innovative and agile fintech environment with office-based collaboration.
  • Birthday leave and one additional paid day for life events, celebrations, or mental health.
  • Option to work remotely from a location of choice for two weeks each year.
  • Professional development opportunities and internal learning initiatives.
  • Social events throughout the year.

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