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2 часа назад

Lead Data Engineer with AWS, Python (FastAPI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Serbia, Ukraine, Poland, Armenia, Romania, Cyprus, Latvia, Kazakhstan, Georgia, Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Lead Data Engineer (AWS, Python, FastAPI): Designing and scaling robust data pipelines for a data-driven legal platform with an accent on handling large volumes of legal and financial data collected via scrapers. Focus on developing and optimizing ETL/ELT workflows, building scalable data workflows with AWS services, and ensuring high-quality data through validation and lineage tracking.

Location: Remote from Bulgaria, Georgia, Kazakhstan, Poland, Serbia, Romania, Ukraine, Cyprus, Latvia, or Armenia. The company also has offices in Almaty, Astana, Belgrade, Cluj-Napoca, Dnipro, Kharkiv, Krakow, Kyiv, Larnaca, Lodz, Lublin, Lviv, Odesa, Riga, Sofia, Tbilisi, Varna, Warsaw, Wroclaw, and Yerevan.

Company

Our client is a leading legal recruiting company building a data-driven platform designed specifically for lawyers and law firms.

What you will do

  • Lead and mentor a team of data engineers, providing technical guidance and support.
  • Design and implement data ingestion pipelines for structured and unstructured data from multiple online sources.
  • Develop and optimize ETL/ELT workflows using Python and SQL.
  • Build and orchestrate scalable data workflows using AWS services like Batch and S3.
  • Develop and deploy internal data APIs and implement robust text extraction and parsing logic.
  • Ensure data quality through validation, deduplication, normalization, and lineage tracking.

Requirements

  • Proven experience leading and mentoring a data engineering team.
  • Strong experience with AWS (AWS Batch, S3, Step Functions, SQS).
  • Experience in Python for data processing and backend development.
  • Hands-on experience with relational databases (PostgreSQL) and strong SQL skills.
  • Experience with Master Data Management (MDM) and data quality practices.
  • Practical experience with Docker and containerized development workflows.

Nice to have

  • Hands-on experience with Apache Spark and SQL for distributed data processing.
  • Experience with EMR or SageMaker.

Culture & Benefits

  • Vacation as per local laws, with encouragement for proper rest.
  • Health insurance assistance for you and your loved ones.
  • 10 days of sick pay without a doctor's note.
  • Time off for state holidays according to the official calendar.
  • Pleasant environment with corporate parties and team gatherings.
  • Comfort service for technical and everyday work problems.
  • Opportunities to work on global projects and grow your career in a supportive, flexible, and innovative tech environment.

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