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2 дня назад

Data Engineer (Madrid, Telecommunications)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Spain
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 (Databricks/PySpark): Building scalable ingestion and transformation pipelines, lakehouse datasets, and data workflows for large-scale telecommunications data with an accent on data quality, schema evolution, and pipeline reliability. Focus on optimizing Spark jobs, developing automated tests, and troubleshooting production data-processing issues.

Location: Hybrid work in Madrid, Spain; flexible schedule includes telecommuting.

Company

hirify.global develops an AI-driven analytics and orchestration platform and high-speed Wi-Fi routers for telecommunications providers, enabling real-time network management and troubleshooting.

What you will do

  • Develop and maintain scalable data ingestion and transformation pipelines with Databricks, PySpark, and SQL.
  • Build Databricks Jobs and Workflows for data ingestion and processing.
  • Build and evolve lakehouse datasets, managing schema changes, data contracts, and source traceability.
  • Ensure data quality, freshness, and reliable availability within required processing windows.
  • Develop unit, integration, and regression tests for data pipelines.
  • Troubleshoot QA and production pipeline issues, identify root causes, implement fixes, and optimize Spark jobs.

Requirements

  • B.Sc. or M.S. in Computer Science or a related field.
  • 2+ years of professional experience in Data Engineering or a similar role.
  • Hands-on experience with Python, PySpark, and SQL.
  • Good understanding of data modeling and lakehouse concepts.
  • Familiarity with automated testing and Git-based development workflows.
  • Strong analytical and problem-solving skills, including troubleshooting data-processing issues.
  • Fluency in both English and Spanish.
  • Ability to work in a hybrid arrangement in Madrid.

Nice to have

  • Experience building ETL/ELT pipelines with Apache Spark and Databricks.
  • Experience with Delta Lake, Medallion Architecture, schema evolution, or data contracts.
  • Experience with Databricks Jobs, Workflows, and workload optimization.
  • Experience working with large-volume or telecommunications datasets.

Culture & Benefits

  • Flexible schedule with telecommuting options.
  • Free parking or a Pluxee transport pass.
  • Pluxee meal card.
  • Private medical insurance for the whole family.
  • International working environment and PTO for birthdays.
  • Competitive salary and incentive plan.

Hiring process

  • Only applications submitted in English will be reviewed or considered.
  • Recruitment processes promote equal opportunities and assess candidates using objective, non-discriminatory criteria.

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