Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности четко сосредоточены на инженерии данных для production, а стек Databricks и Spark актуален; при этом гибридный формат в Мадриде и свободный испанский сужают круг доступных вариантов.
?Привязка к Мадриду
Актуальный стек
Четкие задачи
Телеком и AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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