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Data Engineer II

4 weeks, 1 day ago
India
Full-time
Mid Level
Data Engineer
Software Development
Apache Spark AWS CI/CD dbt GCP Git Kafka Metabase Python Scala SQL Trino
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MRSOOL

MRSOOL

Mrsool: Leading on-demand delivery platform with a vast courier fleet, high user ratings, and innovative chat-based ordering. Established in 2015, serving 10 million users in Saudi Arabia.

Air Freight & Logistics
1K-5K
Founded 2015
View All Jobs 4

Description

  • Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt.
  • Develop and optimize data models based on Medallion Architecture to deliver reliable, reusable, high-quality datasets.
  • Build and maintain cloud-native data platforms using S3, Spark, Trino, and BigQuery.
  • Design data ingestion frameworks using CDC, Kafka, and event-driven architectures for near real-time processing.
  • Create and maintain data warehouses and data marts for reporting and self-service analytics.
  • Partner with Product Managers, Data Analysts, Backend Engineers, and Business stakeholders to translate requirements into data solutions.
  • Develop reusable dbt models, automated tests, and documentation to improve data quality 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, including monitoring, SLA adherence, and incident resolution.
  • Build automation, CI/CD pipelines, and reusable frameworks to strengthen the core data platform.

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.
  • Hands-on experience with Apache Spark and 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.
  • Solid 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 for performance, scalability, and cost efficiency.
  • Familiarity with CI/CD, Git-based 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 across Product, Engineering, Analytics, and Business teams.

Benefits

  • Inclusive and diverse workplace with remote work environments.
  • Competitive compensation packages.
  • Potential share options for certain roles.
  • Regular training and an annual learning stipend.
  • High degree of autonomy in the role.
  • Mentorship and ambitious goals that support growth.

Interested in this position?

Apply directly on the company website

Apply Now

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