Consultant.e Data Engineer AWS H/F

Data Engineer AWS Consultant role involves building and optimizing data pipelines, upskilling clients’ data stacks, and collaborating with business to design data transformations.

Requirements

• Good level in Python, Git, SQL, and at least one Python library for data processing (Pandas, Polars, Dask, Spark,…)
• Good knowledge of data architecture basics: SQL or NoSQL databases, OLTP vs OLAP, ACID vs BASE, Batch vs streaming, Datalake vs Data Warehouse,…
• Experience on the AWS ecosystem, or another hyperscaler (GCP, Azure) Nice to have
• Experience with Spark
• Experience with a pipeline orchestration tool (Airflow, Dagster,…)
• Experience with an infrastructure-as-code tool (Terraform, cloudformation,…)
• Experience with a CI/CD tool (Gitlab-CI, GitHub Actions, Jenkins)
• Experience in industrializing and running data pipelines in production
• Knowledge of modern project management processes (agile methods)

Benefits

• Dedicated AWS account per consultant for experimenting
• 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)