Senior Data Engineer

Reposted 15 Hours Ago
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Riyadh, SAU
Hybrid
Senior level
Digital Media • eCommerce • Software
The Role
The Senior Data Engineer will design and implement scalable ETL pipelines, optimize data architecture, and ensure data integrity while collaborating with data analysts and scientists.
Summary Generated by Built In

🌟 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! 🚀

Skills Required

  • 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 (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)
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The Company
HQ: Riyadh
130 Employees
Year Founded: 2012

What We Do

We believe the Experience Matters. We love to create simple products that people love to use through scientific usability, cognitive psychology, consumer behavior and business intelligence analytics. Headquartered in Riyadh, UXBERT Labs is Saudi Arabia's first Customer and User Experience, Digital Innovation and Experience design lab. The only innovation lab in the region focusing on on scientifically proven ecommerce and digital product research, training, consulting, design and development. It features the first Usability Lab in the Kingdom. The UXBERT Usability Lab is equipped with state of the art technologies like eye tracking research devices and industry leading usability research software to bring the Saudi ecommerce and online market and entrepreneurs a facility where they can focus on user research, evaluation and user testing of all their web and mobile applications and services across various devices and browsers. The team consists of certified usability and user experience professionals that spend their days creating in-house UXBERT products, researching, consulting and training companies and entrepreneurs for their products. UXBERT Labs is also a startup accelerator that provides entrepreneurs with start up capital, resources and lean UX and MVP business expertise to test, validate and present their ideas and get their startups off the ground. Email: [email protected] Phone: +966-11-4622211 / +966-570-UXBERT (892378)

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