
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.
🔥 7 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• 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
• 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
• 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
Apply Now🔥 12 minutes ago
Lead Data Engineer designing Databricks ingestion pipelines and AI applications for Enable Data. Automating Azure DevOps CI/CD deployments, security validation, and cloud architecture documentation.
Azure
Cloud
PySpark
React
Unity
🔥 17 hours ago
Salesforce data developer consolidating healthcare CRM data into Salesforce Health Cloud for EVERSANA. Building compliant migration pipelines for patient, provider, and program data.
Cloud
ETL
Informatica
Python
SOAP
SQL
SSIS
🕒 Yesterday
Data Architect designing Databricks-native architecture, ingestion, governance, and security. Supporting G-P’s SaaS global employment platform serving organizations across 180+ countries.
AWS
Azure
Cloud
Google Cloud Platform
PySpark
Python
SDLC
Spark
SQL
🕒 2 days ago
Data Warehouse Engineer building BigQuery-based pipelines for Porch Group’s SaaS and insurance platform. Optimizing SQL, schemas, and warehouse performance for business intelligence and reporting.
BigQuery
Cloud
ETL
SQL
🕒 3 days ago
Senior Data Warehouse Engineer building BigQuery data pipelines for Porch Group’s SaaS and insurance platform. Optimizing SQL, warehouse performance, and reporting data quality.
BigQuery
Cloud
ETL
SQL