Senior Data Engineer

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!