Job Description
🌟 About Us:
At UXBERT Labs, we believe in the power of data pipelines to drive innovation 💡. Our engineers create data architectures that process, store, and unlock insights across our platforms.
🎯 Role Overview:
We’re hiring a Senior Data Engineer to design and implement robust data pipelines. If you thrive on structuring large datasets and optimizing performance, this is your opportunity to lead in data engineering. 🛠️
⚙️ Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines for processing large datasets.
- Build and optimize data lakes, warehouses, and real-time streaming platforms.
- Collaborate with data analysts and scientists to ensure smooth data flow and accessibility.
- Develop and manage data integrations between multiple platforms and third-party services.
- Ensure data integrity, accuracy, and consistency across all storage systems.
- Troubleshoot and resolve data-related issues, ensuring minimal downtime.
- Implement data governance policies and ensure compliance with data security standards.
- Optimize data processing for performance, scalability, and cost-efficiency.
📋 Requirements:
- 4+ years of experience as a Data Engineer, preferably in large-scale data environments.
- Proficiency in Python, Java, or Scala for data engineering.
- Strong experience with big data tools (Hadoop, Spark, Kafka).
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and data services.
- Expertise in SQL and NoSQL databases.
- Experience in designing and maintaining data warehouses (Redshift, BigQuery, Snowflake).
- Familiarity with containerization tools (Docker, Kubernetes) and orchestration frameworks.
- Strong problem-solving skills and the ability to work independently on complex projects.
- Arabic language skills are a plus.
✨ Fun Gesture:
Your pipelines could fuel the next game-changing insight. Let’s build the data systems that drive innovation! 🚀
