Data Engineer

SOUM

نشرت قبل أكثر من 30 يومًا

الخبرة

2 - 7 سنوات

موقع العمل

Egypt - Egypt

التعليم

بكالوريوس في التكنولوجيا/ الهندسة(أجهزة الكمبيوتر)

الجنسية

أي جنسية

جنس

غير مذكور

عدد الشواغر

1 عدد الشواغر

الوصف الوظيفي

الأدوار والمسؤوليات

Role: Data Engineer
Location: Egypt, Uzbekistan, and Pakistan (Remote)
Work Week: Sunday Thursday
Work Timings: 9:00 AM 6:00 PM (Saudi Arabian Time Zone)

Overview:
We re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.
Role & Responsibilities:
  • Data Pipeline Development & Optimization:
  • Design, build, and maintain scalable and reliable data pipelines to support analytics, ML models, and business reporting.
  • Collaborate with data scientists and analysts to ensure data is available, clean, and optimized for downstream use.
  • Implement data quality checks, monitoring, and validation processes.
  • Data Architecture & Integration:
  • Work with cross-functional teams to design efficient ETL/ELT workflows using modern data tools.
  • Integrate data from multiple sources (databases, APIs, third-party tools) into centralized storage solutions (data lakes/warehouses).
  • Support cloud-based infrastructure for data storage and retrieval.
  • Performance & Scalability:
  • Monitor, troubleshoot, and optimize existing data pipelines to handle large-scale, real-time data flows.
  • Implement best practices for query optimization and cost-efficient data storage.
  • Ensure data is available and accessible for business-critical operations.
  • Collaboration & Documentation:
  • Partner with product, engineering, and business stakeholders to understand data requirements.
  • Document data workflows, schemas, and best practices.
  • Support a culture of data reliability, governance, and security.
Requirements:
  • Proficiency in Python and SQL for data engineering tasks.
  • Strong understanding of ETL/ELT processes, data warehousing, and data modeling.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.).
  • Familiarity with data orchestration tools Airflow, Airbyte is a must.
  • Experience with containerization & deployment tools (Docker, Kubernetes) is a plus.
  • Knowledge of data governance, security, and best practices for handling sensitive data.
  • Familiarity to work with Git and GitHub.
  • Dataform is a must
  • Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks.
Experience:
  • 2+ years in data engineering, building and maintaining data pipelines.
  • 2+ years in SQL and Python development for production environments.
  • Experience working in fast-growing startup environments is a plus.
  • Exposure to real-time data processing frameworks (Kafka, Spark, Flink) is a plus.

الملف الشخصي المطلوب للمرشحين

  • Proficiency in Python and SQL for data engineering tasks.
  • Strong understanding of ETL/ELT processes, data warehousing, and data modeling.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.).
  • Familiarity with data orchestration tools Airflow, Airbyte is a must.
  • Experience with containerization & deployment tools (Docker, Kubernetes) is a plus.
  • Knowledge of data governance, security, and best practices for handling sensitive data.
  • Familiarity to work with Git and GitHub.
  • Dataform is a must
  • Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks.

القطاع المهني للشركة

  • إنترنت
  • التجارة الإلكترونية
  • دوتكوم

المجال الوظيفي / القسم

  • سوفت وير تقنية المعلومات

الكلمات الرئيسية

  • Data Engineer

تنويه: نوكري غلف هو مجرد منصة لجمع الباحثين عن عمل وأصحاب العمل معا. وينصح المتقدمون بالبحث في حسن نية صاحب العمل المحتمل بشكل مستقل. نحن لا نؤيد أي طلبات لدفع الأموال وننصح بشدة ضد تبادل المعلومات الشخصية أو المصرفية ذات الصلة. نوصي أيضا زيارة نصائح أمنية للمزيد من المعلومات. إذا كنت تشك في أي احتيال أو سوء تصرف ، راسلنا عبر البريد الإلكتروني abuse@naukrigulf.com

SOUM

We re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.

قراءة المزيد

https://jobs.lever.co/soum/05385510-f0e3-4f9f-8fa4-4b834037576c

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