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Welcome to the world of Mrsool! 🌍✨ Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store. 🌟📲
What sets Mrsool apart is its commitment to providing an unmatched "order anything from anywhere" experience. 🌐📦 This extraordinary feat is made possible by our extensive fleet of dedicated on-demand couriers. With their unwavering dedication, they ensure that your desired items reach your doorstep, no matter where you are. 🚗🚲
Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool is here to deliver, quite literally. 😋🎁 We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button. 💪🏼💫
We're looking for a passionate Data Engineer II to help build and scale the data platform that powers analytics, product insights, and data-driven decision making across the organization.
You'll work on modern data technologies including Kafka, Maxwell, Spark, S3, Trino, BigQuery, dbt, and Metabase to build reliable, scalable, and high-performance data systems. From real-time data ingestion and distributed data processing to dimensional modeling and data platform development, you'll play a key role in shaping the foundation of our data ecosystem.
As part of the Data Engineering team, you'll design and build robust data pipelines, implement modern data lake architectures, develop reusable data models, and create trusted datasets that empower Product, Analytics, Data Science, and Business teams. You'll also contribute to improving our engineering standards by focusing on performance, reliability, observability, automation, and developer experience.
This role is ideal for someone who enjoys solving complex data engineering challenges, building scalable platforms, and continuously improving how data is collected, transformed, and consumed across the organization.
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If you're excited about building modern data platforms, working with large-scale distributed systems, and having a meaningful impact on the company's data strategy, we'd love to hear from you.
4+ years of hands-on experience designing and building scalable data platforms, data lakes, and data warehouses.
Strong proficiency in Spark (Scala, python) and SQL, with experience building production-grade data pipelines and distributed data processing applications.
Hands-on experience with Apache Spark and a solid understanding of distributed data processing, performance tuning, and optimization.
Experience building batch and streaming data pipelines using technologies such as Kafka, CDC/Maxwell, or similar event-driven architectures.
Strong understanding of modern data lake architectures, including Medallion Architecture, data modeling, partitioning, and storage optimization.
Experience working with cloud-native data platforms and technologies such as Amazon S3, BigQuery, Trino, or similar analytics engines.
Solid experience designing dimensional models, star schemas, and building reliable data marts that support analytics and business intelligence.
Hands-on experience with dbt, including developing reusable models, implementing automated testing, and maintaining documentation.
Strong knowledge of data quality, observability, lineage, and engineering best practices to build reliable and maintainable data products.
Experience optimizing large-scale data pipelines, SQL queries, and distributed processing jobs for performance, scalability, and cost efficiency.
Familiarity with CI/CD, Git-based development workflows, infrastructure automation, and modern software engineering best practices.
Excellent problem-solving skills with the ability to independently own projects from design through production.
Strong communication and stakeholder management skills, with experience collaborating across Product, Engineering, Analytics, and Business teams.
A passion for building scalable data platforms and continuously improving developer experience, platform reliability, and operational excellence.
Saudi private on-demand delivery platform connecting customers with couriers to deliver food, goods, medicines, and errands.
Visit company websiteJobs and hiring trendsFull-time
Mid · 4+ years experience
Remote
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