Yassir is the leading super App for on demand and payment services in the Maghreb region set to changing the way daily services are provided. It currently operates in 26 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (+$43M in funding) by VCs from Silicon Valley, Europe and other par...
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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 Batch and Streaming
GCP Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and
Cloud Storage
NoSQL (preferably MongoDB
Programming languages: Scala/Python
Great Expectation, or similar DQ framework
Familiarity with workflow management tools like: Airflow, Prefect or Luigi
Understanding of Data Governance, Data Warehousing and Data Modelling
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