About Yassir:

Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has raised $150 million in Series B funding, five times what it raised in its previous priced round last November with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. 

We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.

What you’ll do:

• Build a centralized data lake on GCP Data services by integrating diverse data sources throughout the enterprise;
• Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components;
• Design and implement data validation and quality checks to ensure data's accuracy, completeness, and consistency as it flows through the pipelines;
• Work with the Data Science and Machine Learning teams to engage in advanced analytics;
• Collaborate with cross-functional teams, including data analysts, business users, operational and marketing teams, to extract insights and value from data;
• Collaborate with the product team to design, implement, and maintain the data models for analytical use cases;
• Design, develop, and upkeep data dashboards for various teams using Looker Studio;
• Engage in technology explorations, research and development, POC’s and conduct deep investigations and troubleshooting;
• Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance;
• Troubleshoot data issues and conduct root cause analysis when reporting data is in question;

Required Technical Skills:

• PySpark;
• GCP - Big Query, Dataproc, Dataflow, Dataplex, Pub-Sub and Cloud Storage;
• Advance 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;

Good to have skills:

• Infrastructure as Code - Terraform
• Docker and Kubernetes
  
• Looker Studio
• AI and ML engineering knowledge

Privileges:

• The rare opportunity to change the world around you so that it utilizes your product. We're not just an app, we instill social values and reinvent the way services are provided in our region;
• Motivated colleagues in a very friendly working environment;
• Participation in launching innovative new projects;

Benefits:

• Competitive compensation and performance bonuses;
• Healthcare coverage;
• Continuing education opportunities.