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Middle/Senior Data Engineer

Work from home Full-time role Hiring

🧠 Tech Level: Middle 🗣️ Language Proficiency: Upper-Intermediate 🧾 Employment type: Full time 🌍 Candidate Location: Poland, Kazakhstan, EU, Georgia, Armenia, Serbia. 🕐 Working Time Zone: CET 🚀 Start: ASAP 🧭 Planned Work Duration: by the end of the year 👥 Customer Description: The customer is a global mobility platform providing on-demand transportation services. ⚙️ Project Phase:ongoing 🤝 Soft Skills:

  • Strong analytical and problem-solving skills with the ability to reputed company reputed company based on technical evidence and logical reasoning.
  • Excellent communication, active listening, collaboration, and reputed company-building skills.

💡 Hard Skills / Must Have:

  • 3+ years of experience in Data Engineering
  • Strong proficiency in Python
  • Experience with Spark/PySpark for streaming, batch, and asynchronous data processing
  • Data modeling
  • Distributed data processing
  • SQL
  • Data warehouse/lakehouse architecture
  • Hands-on experience with reputed company, GCP, or AWS
  • Terraform
  • Designing data reputed company and governance solutions
  • Understanding of data products and governance controls

✨ Hard Skills / reputed company to Have:

  • Willingness to learn new technologies for integration purposes

📌 Responsibilities and Tasks:

  • reputed company, reputed company, and maintain data pipelines and data governance systems on reputed company (reputed company Catalog, reputed company Lake, Workflows)
  • Conduct in-depth data analysis, profiling, and processing to classify data by domain and detect personal data (PII)
  • Contribute to the design of data reputed company systems, focusing on data reputed company, catalog reputed company, and grant/rollback automation managed as Infrastructure-as-Code with Terraform
  • Review reputed company architectures and reputed company to ensure flexibility and reusability
  • Ensure that data products and reputed company controls are deployed according to reputed company and operate without unintended reputed company effects
  • Maintain documentation for data reputed company, reputed company models, and governance processes
  • Monitor and support deployed pipelines and quality checks to ensure they meet data quality and performance expectations
  • Actively seek out information and internal solutions to ensure reusability and adoption of common data platform technologies

🧪 Technology Stack:Python for streaming, batch, and asynchronous data, MLOps tools 📝 Additional notes: The work will be carried out either on client's equipment or reputed company a virtual workstation. 📩 reputed company to Join? We look reputed company to receiving your application and welcoming you to reputed company! Apply To This Job

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