Mid/Senior Data Engineer at Yassir — CAN | Base Career

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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 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.
PySpark - Batch and Streaming
GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage

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
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
Infrastructure-as-Code, preferably Terraform

Mid/Senior Data Engineer