Data Engineer II

🕒 September 18

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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MRSOOL | مرسول

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🍽️ Food & Beverage

✈️ Travel

💼 Consulting

Food & Beverage • Travel • Consulting

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

• Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt • Develop and optimize data models following Medallion Architecture (Bronze, Silver, Gold) • Build and maintain cloud-native data platforms using S3, Spark, Trino, and BigQuery • Design data ingestion frameworks leveraging CDC (Maxwell), Kafka, and event-driven architectures • Create, optimize, and maintain data warehouses and data marts • Partner with Product Managers, Data Analysts, Backend Engineers, and Business stakeholders to translate requirements into data solutions • Develop reusable dbt models, testing frameworks, and documentation • Optimize Spark jobs, Trino queries, and storage layouts • Own the lifecycle of critical data pipelines, including availability, monitoring, SLA adherence, and incident resolution • Build reusable frameworks, automation, CI/CD pipelines, and engineering best practices for the core data platform • Ensure data quality through validation, monitoring, lineage, and observability, while implementing security and governance practices • Deliver trusted datasets, semantic models, and Metabase dashboards for analytics and decision-making

🎯 Requirements

• 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 • Experience building production-grade data pipelines and distributed data processing applications • Hands-on experience with Apache Spark, distributed data processing, performance tuning, and optimization • Experience building batch and streaming data pipelines using 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 with cloud-native data platforms and technologies such as Amazon S3, BigQuery, Trino, or similar analytics engines • Experience designing dimensional models, star schemas, and reliable data marts • Hands-on experience with dbt, including reusable models, automated testing, and documentation • Strong knowledge of data quality, observability, lineage, and engineering best practices • Experience optimizing large-scale data pipelines, SQL queries, and distributed processing jobs • Familiarity with CI/CD, Git-based development workflows, infrastructure automation, and modern software engineering best practices • Ability to independently own projects from design through production • Strong communication and stakeholder management skills • Experience collaborating across Product, Engineering, Analytics, and Business teams • Passion for scalable data platforms, developer experience, platform reliability, and operational excellence

🏖️ Benefits

• Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and offers remote environments. • Competitive compensation packages • Potential share options for certain roles • Regular training • Annual learning stipend • High degree of autonomy • Mentorship • Ambitious goals supporting professional and company growth

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