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کد آگهی: KP9595641267

استخدام Senior Data Engineer

استخدام Senior Data Engineer - خودرو45 | Khodro45
خودرو45 | Khodro45
در تهران
در وبسایت جابینجا  (3 روز پیش)
اطلاعات شغل:
نوع همکاری:  تمام‌وقت
مهارت‌های مورد نیاز:
Python
kafka
Databases
پرداخت‌ها:  توافقی
متن کامل آگهی:
Senior Data Engineer in our company is responsible for designing, developing, and maintaining data infrastructure that plays a key role in the organization’s strategic decision-making. This position requires a deep technical knowledge, a structured problem-solving approach, the ability to collaborate across teams, and a focus on data quality and system architecture.

The main goal of this role is to build a reliable, scalable, and up-to-date data ecosystem that provides a solid foundation for analysis, reporting, and data-driven growth within the organization.

Key Responsibilities:

  • Design and develop data pipelines.
  • Implement data transfer and processing systems with Apache Airflow and Kafka.
  • Build pipelines that are scalable, easy to monitor, and maintain.
  • Construct advanced data architecture.
  • Develop a structured and data-driven Data Warehouse based on data architecture principles.
  • Define optimized data models to improve data storage and retrieval performance.
  • Manage data quality.
  • Continuously monitor the accuracy, consistency, and freshness of data.
  • Design automated processes to identify and correct defective or inconsistent data.
  • Collaborate across teams to create reliable data infrastructure.
  • Work with product, analysis, and technical teams to understand data needs.
  • Provide structured data for use in analysis, dashboarding, and decision-making projects.
Required Skills and Qualifications:

Technical Knowledge:

  • Proficiency in Python and data processing tools.
  • Practical experience with Apache Airflow for pipeline orchestration.
  • Familiarity with Kafka for real-time data transfer.
  • Expertise in working with PostgreSQL and ClickHouse.
  • Strong understanding of Data Architecture and Data Modeling concepts.
  • Knowledge of Data Quality principles and data monitoring.
Infrastructure and DevOps:

  • Familiarity with Docker and CI/CD principles for implementing modern, stable structures.
Personal and Interpersonal Skills:

  • High attention to detail.
  • Ability to solve problems in complex and dynamic environments.
  • Strong communication skills and ability to collaborate effectively with various teams.
Required Experience and Background:

  • At least 1 year of relevant work experience in Data Engineering or software development.
  • Experience designing and implementing data pipelines in real-world projects.
  • Experience in cross-team collaboration on data-driven projects.
  • Experience working with technology or product teams is a plus.

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جمعه 9 اسفند 1404، ساعت 09:24