Remote Senior Data Engineer

Summary

Join Yassir, a leading super app in the Maghreb region, and help us build a centralized data lake on GCP. We're expanding rapidly and need a skilled data engineer to develop and maintain data pipelines, ensuring data quality and integration with various platform components. You will collaborate with data science, machine learning, and business teams to extract insights and build data dashboards. This role requires expertise in PySpark, GCP data services, and SQL, along with experience in data modeling and governance. We offer a dynamic and inclusive work environment where you can contribute to our mission of creating a better tomorrow.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

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