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Sigma Software Group
Sigma Software Group
1.001 – 5.000 Angajați
Asistență medicalăConsultanțăIndustria auto
Sigma Software Group este o companie multinațională de consultanță tehnologică, fondată în 2002. Echipele sale oferă servicii de dezvoltare software, design grafic, testare și asistență tehnică pentru clienți din sectoare precum industria auto, sănătatea, telecomunicațiile, aviația, sectorul bancar, jocurile, imobiliarele și publicitatea. Compania recrutează specialiști IT pentru a lucra la proiecte complexe de inginerie și sprijină dezvoltarea profesională prin mentorat și învățare continuă. Oportunitățile de lucru la distanță fac parte din modelul său de lucru, iar proiectele deservesc organizații precum AstraZeneca, Scania și SAS.
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Locurile de muncă ale companiei

Data Engineer (Azure, Spark) — Remote in Ukraine

Build scalable Azure data platforms and pipelines that support analytics, reporting, and data-informed decisions. Develop Spark workflows and dependable data processing in collaboration with multiple teams.

UAUcrainaRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de date
AirflowAmazon RedshiftApacheAzureBigQueryCloudETLKafkaPySparkPythonSparkSQL

Descriere

  • Build scalable, reliable data platforms and pipelines for analytical and operational needs.
  • Create data processing workflows with distributed frameworks such as Apache Spark and PySpark on Databricks.
  • Help advance the cloud data platform with Azure services, including Data Factory, Synapse, Microsoft Fabric, Databricks, Event Hub, and Azure Data Lake Storage.
  • Integrate and process internal and external data while maintaining consistency, quality, and reliability.
  • Own pipeline reliability, monitoring, and performance.
  • Work with analysts, data scientists, and engineers to turn business and analytical needs into robust data solutions.
  • Improve data engineering practices, including pipeline standards, testing, and operational reliability.
  • Evaluate and help introduce tools and technologies for the data engineering environment.

Cerințe

  • Bring at least four years of hands-on experience in data engineering or building data processing platforms.
  • Use SQL confidently and have solid Python experience developing and maintaining data pipelines.
  • Have experience with distributed processing frameworks such as Apache Spark or PySpark; Databricks experience is a strong advantage.
  • Have practical experience designing and implementing cloud data pipelines, preferably on Azure.
  • Have designed pipelines and data models for production-scale analytical systems.
  • Understand ETL/ELT design, dimensional modeling, and data warehousing principles.
  • Have experience with modern data lake architectures and formats such as Parquet and JSON.
  • Have used workflow orchestration tools such as Airflow.
  • Have experience with database development and performance optimization.
  • Be able to design scalable, maintainable data solutions with minimal supervision.
  • Communicate and collaborate effectively.
  • Have professional working proficiency in English.
  • Have experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Have experience with streaming technologies such as Event Hub, Kafka, or Spark Streaming.
  • Have experience with Delta Lake or other lakehouse technologies.
  • Be familiar with CI/CD practices and Git-based development workflows.
  • Have experience working in agile development environments.

Beneficii

  • Work remotely.

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