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Senior Data Engineer

Leading super App in the Maghreb region providing ride-hailing, delivery, and financial services across North Africa, France, and Canada.
Cairo, Cairo Governorate, EgyptAlexandria, Alexandria Governorate, Egypt
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
5+ years of experience
AI · Finance · Enterprise SaaS

Job Description

Yassir is the leading super App in the Maghreb region, transforming daily service delivery across 45 cities in Algeria, Morocco, Tunisia, with recent expansions into France, Canada, and Sub-Saharan Africa. Backed by approximately $200M in funding from Silicon Valley and European VCs, Yassir offers comprehensive on-demand services including ride-hailing, last-mile delivery, and digital financial services.

As a Senior Data Engineer, you'll be instrumental in building and maintaining our data infrastructure on GCP. You'll work with cutting-edge technologies like PySpark, developing both batch and streaming data processing pipelines. Your role involves collaborating with Data Science, Machine Learning teams, and cross-functional stakeholders to extract valuable insights from our data.

Key responsibilities include building a centralized data lake, implementing data validation processes, and designing ETL/ELT workflows. You'll work with technologies such as BigQuery, Dataproc, Dataflow, and maintain data dashboards using Looker Studio. The role requires expertise in SQL, NoSQL (MongoDB), Python/Scala, and familiarity with workflow management tools like Airflow.

This is an opportunity to join a rapidly growing company that's not just serving people but creating a marketplace that brings value while infusing social values. You'll be part of a diverse, inclusive culture that values unique perspectives and experiences. The position offers a hybrid work arrangement in either Cairo or Alexandria, Egypt, allowing you to contribute to Yassir's mission of ushering the continent into a digital economy era.

Last updated 21 hours ago

Responsibilities For Senior Data Engineer

  • Build a centralized data lake on GCP Data services
  • Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines
  • Design and implement data validation and quality checks
  • Work with Data Science and Machine Learning teams for advanced analytics
  • Collaborate with cross-functional teams to extract insights from data
  • Design, implement, and maintain data models for analytical use cases
  • Design, develop, and upkeep data dashboards using Looker Studio
  • Engage in technology explorations and POC's
  • Design and manage ETL/ELT processes
  • Troubleshoot data issues and conduct root cause analysis

Requirements For Senior Data Engineer

Python
MongoDB
Kubernetes
  • PySpark experience
  • GCP - Big Query, Dataproc, Dataflow, Dataplex, Pub-Sub and Cloud Storage
  • Advanced SQL knowledge
  • NoSQL (Preferably MongoDB)
  • Programming languages - Scala/Python
  • Great Expectation - similar DQ framework
  • Familiarity with workflow management tools like Airflow, Prefect or Luigi
  • Understanding of Data Governance, DWH and Data Modelling

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