Senior Data Engineer

UXBERT Labs; Riyadh; On-site; SAR 150,000 - 200,000; Full time

Job summary

An innovative tech company in Riyadh is seeking a Senior Data Engineer to design and implement robust data pipelines. This role involves developing scalable ETL pipelines, collaborating with data analysts, and optimizing data flow across platforms. Candidates should have over 4 years of experience and proficiency in big data tools and cloud services, with a chance to work on innovative projects that drive insights. Knowledge of Arabic is a plus.

Qualifications

• 4+ years of experience as a Data Engineer in large-scale data environments.
• Proficiency in Python, Java, or Scala.
• Strong experience with big data tools, cloud platforms, and data services.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines.
• Build and optimize data lakes and warehouses.
• Collaborate with data analysts and scientists.

Skills

Data engineering expertise

Python programming

Big data tools (Hadoop, Spark, Kafka)

Cloud platform knowledge (AWS, Azure, GCP)

SQL and NoSQL databases

Containerization (Docker, Kubernetes)

Strong problem-solving skills

Tools

ETL tools

Data warehouses (Redshift, BigQuery, Snowflake)

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 sani 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 Quadratica across all storage systems.
• Troubleshoot and resolve data‑related issues, ensuring minimal downtime.
• Implement data governance policies and ensure compliance with data security扑克ert 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 Proms the data systems that drive innovation! 🚀