Optiveum
Optiveum
Optiveum HR va IT xizmatlariga ixtisoslashgan, ushbu sohalarda 20 yildan ortiq tajribaga ega bo‘lgan rekruting va konsalting kompaniyasidir. Kompaniya Polsha va xalqaro bozorlardagi mijozlar bilan hamkorlik qilib, mutaxassislarni masofaviy va ofisda bajariladigan loyihaviy hamda doimiy ish imkoniyatlari bilan bog‘laydi. Uning rekruting faoliyati IT, moliya, buxgalteriya, ishlab chiqarish, logistika va marketing sohalarini qamrab olib, iste’dod izlayotgan tashkilotlar hamda keyingi professional imkoniyatini izlayotgan nomzodlarni qo‘llab-quvvatlaydi.

Senior Databricks Data Engineer – Poland Remote Contract

Build scalable Databricks data pipelines and processing solutions with Python for Optiveum’s technology clients. Work across AWS, Azure, and Google Cloud Platform on complex datasets and cloud-based architectures.

Tavsif

  • Create Databricks processing solutions for large and varied datasets
  • Develop and improve Python data pipelines using cloud-native technologies
  • Partner with solution architects to establish and maintain data engineering standards
  • Maintain data integrity, security, and scalability across cloud environments
  • Design scalable architectures for complex data workloads on AWS, Azure, and Google Cloud Platform
  • Apply modern data frameworks, programming practices, and DevOps principles

Talablar

  • Demonstrated commercial data engineering experience with practical Databricks expertise
  • Advanced Python skills for automation and data transformation
  • Commercial experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform
  • Effective written and verbal communication skills
  • Advanced proficiency in English and Polish
  • Strong SQL knowledge, including query optimization and data modeling
  • Working knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code tools such as Terraform or Bicep
  • Experience with real-time streaming technologies, including Kafka or Spark Streaming
  • Knowledge of cloud storage platforms such as Data Lake, Snowflake, or Synapse
  • Practical PySpark experience for distributed data processing
  • Relevant professional certifications, such as Databricks Certified Data Engineer Associate or cloud data certifications

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