Yassir

On-demand ride-hailing, delivery, and digital finance

Data Engineer – Mid/Senior

Data EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedHybrid

About the Job

Requirements

Proficiency with PySpark.
Experience with GCP data services, including BigQuery, Dataproc, Dataflow, Dataplex, Pub/Sub, and Cloud Storage.
Advanced SQL knowledge.
Knowledge of NoSQL, preferably MongoDB.
Proficiency in Scala or Python.
Experience with Great Expectations or a similar data quality framework.
Familiarity with workflow management tools such as Airflow, Prefect, or Luigi.
Understanding of data governance, data warehousing, and data modelling.

Responsibilities

Build a centralized data lake using GCP data services by integrating diverse data sources across 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 accuracy, completeness, and consistency throughout pipelines.
Work with the Data Science and Machine Learning teams on advanced analytics.
Collaborate with data analysts, business users, and operational and marketing teams to extract insights and value from data.
Collaborate with the product team to design, implement, and maintain data models for analytical use cases.
Design, develop, and maintain data dashboards for various teams using Looker Studio.
Conduct technology explorations, research and development, proof-of-concept work, 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.

Desired Qualifications

Knowledge of infrastructure as code using Terraform.
Experience with Docker and Kubernetes.
Experience with Looker Studio.
Knowledge of AI and machine learning engineering.

Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.

We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.

Helping usher the continent into a digital economy era. 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, and 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
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

Good to have skills

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

At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.

Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.

We look forward to receiving your application!

Best of luck,

Your Yassir TA Team

About the Company

Yassir

On-demand ride-hailing, delivery, and digital finance

Yassir runs a super app that combines ride-hailing and last-mile delivery across 45 cities in the Maghreb, with recent expansions into France, Canada, and Sub-Saharan Africa, and it is adding digital financial services for paying, saving, and borrowing. Users access all services in one app, with the platform coordinating rides and deliveries through its logistics network and offering fintech features for payments and lending. Unlike single-service competitors, Yassir bundles transportation, delivery, and financial tools within a single regional marketplace, and it emphasizes social values and financial inclusion. Its goal is to become a comprehensive marketplace that helps people use a cashless, digital economy while meeting everyday needs across its growing network.

Company size: 1,001-5,000
Company stage: Series B
Total funding: $180.3M
Headquarters: Algiers, Algeria
Founded: 2016

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