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4 дня назад

Middle Databricks Developer with Azure (Data Platform)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Serbia/Ukraine/Poland +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Middle Databricks Developer with Azure (Data Platform): Building scalable cloud data platforms and reliable pipelines in the Microsoft Azure ecosystem with an accent on Databricks, Spark, PySpark, and Lakehouse architecture. Focus on designing end-to-end ETL/ELT workflows, optimizing Spark workloads, integrating diverse data sources, and ensuring data quality, governance, security, and monitoring.

Location: Remote from Bulgaria, Cyprus, Latvia, Poland, Romania, Serbia, or Ukraine; listed locations include Belgrade, Cluj-Napoca, Dnipro, Kharkiv, Krakow, Kyiv, Larnaca, Lodz, Lublin, Lviv, Odesa, Riga, Sofia, Varna, Warsaw, Wroclaw, and remote options in Bulgaria and Poland.

Company

hirify.global is delivering a cloud-based data engineering project for a London-based international private equity investor.

What you will do

  • Design data solutions and scalable data platforms using Databricks, Spark, and Azure services.
  • Develop pipelines and ETL/ELT workflows for structured and unstructured data.
  • Build Lakehouse architectures with Delta Lake and integrate databases, APIs, cloud services, and streaming platforms.
  • Develop and optimize high-performance PySpark and Spark SQL solutions for scalability and cost efficiency.
  • Ensure data quality, governance, security, and monitoring standards.
  • Collaborate with data engineers, architects, analytics teams, business stakeholders, and the client’s technical team; participate in architecture, technical decisions, CI/CD, and infrastructure automation.

Requirements

  • 4+ years of experience in Data Engineering, including 3+ years of hands-on experience with Azure Databricks.
  • Experience with Apache Spark and PySpark.
  • Knowledge of Python and SQL.
  • Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  • Experience with Delta Lake, Lakehouse architecture, and end-to-end data pipelines in Azure.
  • Understanding of data modeling principles and best practices.
  • Experience working with large-scale datasets in cloud environments.
  • Experience with Git-based version control systems.
  • Upper Intermediate or higher English level required.

Nice to have

  • Experience optimizing Spark workloads.
  • Experience collaborating with cross-functional technical and business teams.
  • Experience supporting CI/CD processes and infrastructure automation.

Culture & Benefits

  • Remote work is available from the listed countries and locations.
  • Small project team of 8 people working with a client-side technical team of more than 20 specialists.
  • SCRUM-based workflow with weekly sprints.

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