Data Engineer
il y a 1 jour
- 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.
- 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
- Infrastructure as Code - Terraform
- Docker and Kubernetes
- Looker Studio
- AI and ML engineering knowledge
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. 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.
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