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5 дней назад

Senior Data Platform Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
BAH
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Platform Engineer (Python/SQL, Apache Iceberg/Delta Lake): Building and operating scalable data pipelines, curated datasets, and data quality systems for analytics and AI at scale with an accent on data lakes, open table formats, privacy controls, and platform reliability. Focus on designing reusable transformations, onboarding product data sources, tuning distributed workloads and cloud costs, and responding to production incidents.

Location: Sarajevo, Bosnia and Herzegovina

Company

hirify.global provides a personalized health platform combining health plan administration, wellbeing solutions, and care navigation for employers, health plans, and health systems.

What you will do

  • Design, build, and operate scalable pipelines moving product data into the data lake.
  • Build and maintain large-scale transformations and curated datasets on open table formats for Reporting & Analytics.
  • Implement data quality checks, freshness monitoring, alerting, and lineage.
  • Apply access management, masking, encryption, and auditability controls for PII/PHI and regulatory compliance.
  • Onboard new product data sources, define data contracts, optimize performance and cloud costs, and participate in architecture and code reviews.
  • Share on-call responsibility and respond to platform incidents.

Requirements

  • 5+ years of experience in data or software engineering, including at least 3 years focused on data platforms or big data.
  • Production experience building and operating data systems at real scale.
  • Heavy hands-on experience with large-scale data transformation, data pipelines, and data lakes.
  • Hands-on experience with Apache Iceberg or Delta Lake, including schema evolution, partitioning, and time travel.
  • Experience with workflow orchestration tools such as Airflow, Dagster, or similar.
  • Practical experience with data governance, including data quality, PII/PHI handling, and freshness monitoring.
  • Strong SQL and Python proficiency.
  • Experience with distributed systems and microservices as data producers.

Nice to have

  • Experience in healthcare, benefits, insurance, or another regulated industry.
  • Apache Spark experience.
  • Apache Kafka and event-driven architecture experience.

Culture & Benefits

  • Commitment to diversity, equity, inclusion, and belonging.
  • Equal opportunity employment and an environment where differences are celebrated.

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