As a Senior Data Engineer AWS Consultant, you will accompany businesses in framing and delivering their data use cases, industrialize and run data processing pipelines in production, and participate in the development of internal communities.
Requirements
- Good mastery of Python, Git, SQL, and at least one Python library for data processing (Pandas, Polars, Dask, Spark, etc.)
- Deep understanding of data architectures and their issues: BDD SQL vs NoSQL, OLTP vs OLAP, ACID vs BASE, Batch vs Streaming, Datalake vs Data Warehouse vs LakeHouse, etc.
- Experience with the AWS ecosystem or another hyperscaler (GCP, Azure)
- Experience with Spark
- Experience with a pipeline orchestration tool (Airflow, Dagster, etc.)
- Experience in deploying and running data processing pipelines
- Experience with Agile method
Benefits
- A dedicated AWS account for each consultant to experiment with
- Interesting and participation
- A tailored career path that we will develop together
- Free and unlimited access to Udemy Business
- Flexible remote work policy with reimbursement of certain expenses
- Wellness subscription
- Laptop of your choice (Mac or Windows)