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10 дней назад

Senior Data Platform Engineer (Python) (iGaming)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Platform Engineer (Python) (iGaming): Modernizing a large-scale cloud data platform for ingestion, processing, analytics, governance, and operational insight with an accent on Python pipelines, Airflow orchestration, AWS lakehouse components, and regulated data handling. Focus on improving reliability, observability, security, and data quality while evolving lakehouse architecture with Spark, Kafka, Iceberg, and dbt.

Location: Remote

Company

hirify.global is hiring a consultant to modernize a large-scale cloud data platform for a regulated iGaming environment.

What you will do

  • Build and maintain production Python data pipelines orchestrated with Airflow.
  • Work across AWS lake and warehouse components, including S3, Postgres, Redshift, Glue, and Lake Formation.
  • Improve ingestion and transformation reliability, throughput, observability, and data quality.
  • Apply CI/CD and Terraform for repeatable, measurable deployments.
  • Contribute to lakehouse evolution using Spark, Kafka, Iceberg, and dbt.
  • Enforce access control, schema validation, GDPR compliance, and PII governance; mentor junior engineers and contribute to architecture and tooling decisions.

Requirements

  • 5+ years of experience building production Python data pipelines.
  • Hands-on experience with AWS, Airflow, SQL, and data modeling.
  • Practical experience with Docker, Terraform, and CI/CD.
  • Familiarity with Spark, Kafka, Iceberg, dbt, or similar lakehouse tooling.
  • Strong focus on reliability, observability, and secure data handling.

Nice to have

  • Experience in betting, gaming, fintech, or another regulated environment.

Culture & Benefits

  • Remote consultant engagement.
  • Work on a large-scale cloud data platform in a regulated iGaming environment.

Hiring process

  • Brief non-technical conversation about background, career aspirations, communication, teamwork, and decision-making.
  • 60–90 minute technical interview followed by a client interview and offer stage.

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