Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко описанная senior-роль в крупной международной компании с серьезной работой над современными платформами данных, хотя обязательный офисный формат и командировки могут ограничить гибкость.
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Офис и командировкиСовременный стекПонятный уровень задачКрупная международная компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Data Engineer (Microsoft Fabric/Spark): Designing data integration pipelines, backend services, and distributed batch and streaming workloads across Microsoft Fabric and Synapse Analytics with an accent on Scala engineering, Spark optimization, and JVM-based microservices. Focus on tuning large-scale workloads, building reliable REST APIs, and automating data-platform delivery through CI/CD.
Location: Mexico City, Mexico. Other location: San Jose Escazu, Costa Rica. Travel required: 00%–25%. Relocation is not provided.
Company
Data engineering role at hirify.global, supporting enterprise data and analytics platforms for personalized experiences, decision-making, and scalable innovation.
What you will do
Design and develop data integration pipelines and backend services for structured and unstructured data using Apache Spark and Scala.
Build and optimize distributed batch and streaming workloads in Microsoft Fabric and Synapse Analytics.
Perform Spark performance tuning across partitioning, memory configuration, query plans, workload balancing, and capacity optimization.
Develop JVM-based REST microservices and APIs for interoperability between internal and external systems.
Write modular, testable, maintainable Scala code using functional programming, SOLID principles, and reliable engineering patterns.
Build and maintain CI/CD automation with GitHub Actions, Maven, and SBT for testing, deployment, and data-artifact configuration.
Requirements
Strong Scala programming skills, including functional programming concepts, concurrency models, and modular system design.
At least 3 years of hands-on Apache Spark experience building, debugging, and optimizing distributed computing applications; Scala or Java preferred.
Experience designing STAR, Vault, or Tabular data models for analytics.
Experience building REST-based microservices on the JVM.
At least 3 years of combined Synapse and Microsoft Fabric experience, including designing and transforming large data with Azure Data Services such as Synapse, ADF, Azure Functions, and ARM Templates.
Experience building automated release cycles with Git, GitHub Actions, Maven or SBT, and UV.
Experience with big data ecosystems such as Hadoop or Delta Lake, or similar technologies, within AWS, Azure, or GCP cloud platforms.
Experience with Agile development, including Scrum and lean techniques, and collaboration with global engineering teams.
Culture & Benefits
Inclusive culture grounded in the purpose of refreshing the world and making a difference.
Growth mindset, continuous learning, and an expansive approach to problem-solving.
Work culture emphasizes curiosity, empowerment, inclusion, and agility.
Travel required for 00%–25% of the role.
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