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4 дня назад

Data Engineer (Fintech)

Формат работы
remote
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (Fintech): Designing and building robust, scalable data pipelines for financial machine learning forecasting models with an accent on ETL/ELT development, data validation, and financial dataset integration. Focus on processing complex multi-source financial data, ensuring high data quality, and building feature stores for ML forecasting consumption.

Company

hirify.global is a full-stack AI delivery company specializing in building and operating intelligence-driven systems for mission-critical enterprise and government workflows.

What you will do

  • Design, develop, and maintain automated ETL/ELT pipelines for financial transaction datasets.
  • Perform data cleaning, normalization, validation, and entity mapping across multiple legal entities.
  • Build exploratory data analysis (EDA) pipelines and statistical analysis of financial patterns.
  • Develop feature stores with pre-computed lag and rolling statistics for ML forecasting.
  • Ensure high data quality through automated integrity checks and validation frameworks.
  • Document pipelines and provide technical handoff materials for ML Engineering teams.

Requirements

  • 3+ years of experience building production-grade data engineering pipelines.
  • Strong expertise in Python (Pandas, NumPy) and SQL.
  • Experience with Jupyter notebooks for EDA and reporting.
  • Proven ability to handle complex financial data such as transactions, general ledger, and settlements.
  • Familiarity with corporate network security protocols and data access controls.
  • Bachelor’s or Master’s degree in Computer Science or a related field.

Nice to have

  • Financial domain experience regarding treasury operations or intercompany transactions.
  • Experience preparing time-series datasets for ML forecasting.
  • Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
  • Experience with cloud data platforms like AWS S3, GCP BigQuery, or Azure Data Lake.

Culture & Benefits

  • Work on cutting-edge AI and financial forecasting solutions within secure enterprise environments.
  • Competitive compensation packages with annual increments.
  • Comprehensive health insurance covering maternity, spouse, and parents.
  • Practical perks including gym memberships, provident fund, and easy loan facilities.
  • Supportive culture focused on continuous growth and professional development.

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