Data Engineer II

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MRSOOL | مرسول

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🚗 Transport

🛍️ eCommerce

Transport • eCommerce • Logistics

MRSOOL is one of the largest delivery platforms in the region, offering an on-demand experience with high user ratings in both Apple's App Store and Google's Play store. MRSOOL provides a "order anything from anywhere" service backed by a large fleet of registered couriers. It enables businesses to access a vast user base, facilitating transformation to on-demand eCommerce and offering a flexible bidding system for service prices. MRSOOL also offers a personalized delivery experience with real-time tracking and communication with couriers, making it a leading option for ordering from local shops, groceries, and restaurants directly to your door.

📋 Description

• **What You Will Do ❓** • - Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications. • - Develop and optimize data models following Medallion Architecture (Bronze, Silver, Gold) to create reliable, reusable, and high-quality datasets. • - Build and maintain cloud-native data platforms using S3, Spark, Trino, and BigQuery, ensuring scalability, reliability, and cost efficiency. • - Design robust data ingestion frameworks leveraging CDC (Maxwell), Kafka, and event-driven architectures to support near real-time data processing. • - Create, optimize, and maintain data warehouses and data marts that enable fast, reliable reporting and self-service analytics. • - Partner closely with Product Managers, Data Analysts, Backend Engineers, and Business stakeholders to translate business requirements into scalable data solutions. • - Develop reusable dbt models, testing frameworks, and documentation to improve data quality, governance, and developer productivity. • - Optimize Spark jobs, Trino queries, and storage layouts for performance, reliability, and cost efficiency. • - Own the end-to-end lifecycle of critical data pipelines, ensuring high availability, monitoring, SLA adherence, and proactive incident resolution. • - Build and enhance the core data platform by developing reusable frameworks, automation, CI/CD pipelines, and engineering best practices. • - Ensure data quality through validation, monitoring, lineage, and observability while implementing best practices for security and governance. • - Enable analytics teams by delivering trusted datasets, semantic models, and dashboards that power decision-making through Metabase.

🎯 Requirements

• **What We're Looking For 🚀** • - 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.

🏖️ Benefits

• **What We Offer You❗**Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and offers remote environments. • Competitive Compensation: Our compensation packages are highly competitive and include potential share options for certain roles. • Personal Growth and Development: We are committed to your personal and professional growth, providing regular training and an annual learning stipend to help you advance your career in a dynamic environment. • Autonomy and Mentorship: You'll enjoy a high degree of autonomy in your role, supported by mentorship and ambitious goals that pave the way for both your success and the company's growth.