Optiveum
Optiveum
Optiveum एक भर्ती और परामर्श कंपनी है, जो मानव संसाधन और आईटी सेवाओं पर केंद्रित है तथा इन क्षेत्रों में 20 से अधिक वर्षों के अनुभव का लाभ उठाती है। कंपनी पेशेवरों को रिमोट और ऑन-साइट भूमिकाओं में परियोजना-आधारित और स्थायी अवसरों से जोड़ती है और पोलैंड तथा अंतरराष्ट्रीय बाज़ारों के ग्राहकों के साथ काम करती है। इसकी भर्ती सेवाओं का दायरा आईटी, वित्त, लेखांकन, विनिर्माण, लॉजिस्टिक्स और मार्केटिंग तक फैला हुआ है, जिससे प्रतिभाशाली कर्मचारियों की तलाश करने वाले संगठनों और अपने अगले पेशेवर अवसर की तलाश कर रहे उम्मीदवारों को सहायता मिलती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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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