Mid/Senior Data Engineer

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 accuracy, completeness and consistency across our data workflows.
• Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.
• Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.
• Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.
• Engage in technology exploration and research, the development of PoC s, conducting deep investigations.
• 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.
• Work on Gen AI related initiatives aligned with the company goals.

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
• Good SQL knowledge

Business

• Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way
• Proactively identify and contribute with team development initiatives, and supporting junior members

Good to have skills

• Infrastructure-as-Code, preferably Terraform
• Docker and Kubernetes
• Looker
• AI / ML engineering knowledge
• Lineage, or relevant tools e.g. Atlan
• DBT

Desired Candidate Profile

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.