Our company at the forefront of AI technologies develops solutions turnkey software.
An independent department offers high added value advice and supports CAC 40 companies in several areas (industry, health, banks, insurance, etc.). Thus, we are present in all technology-intensive sectors that contribute to a more connected and sustainable society.
We are looking for an AWS data engineer who will be attached to the Lead Tech DataLake to participate in the creation of a new agile team.
Responsibilities:
Concretize the centralization of data (structured or unstructured) of the company
Ingest all data formats (structured or not) via API, batch or streaming
Facilitate data access and exchanges between applications
Data Catalog (search engine, documentation)
Raw, semi-structured, refined data
Manage access rights
Ensure high data availability
Achievements requested:
Develop, monitor and maintain data source ingestion processing
Participate in the architecture of the Data Lake on AWS and its tools (Data Catalog, Access Management, Data Quality) < /span>
Make data accessible to other members of society: Business Intelligence, eShop, Repositories, DataLab, etc.
Ensuring data security, quality, and lineage in the Data Lake
Working with CI/CD integrators for DevOps implementation
Ensure technology watch on the components of a Data Lake platform
Profile:
Experience of at least 3 years in Data projects in Agile and in the Amazon Web Services Cloud
Skills in AWS Managed Services (S3, glue, athena, lambda), Python, Spark and TALEND
Experience with Github, Jira, Confluence, Jenkins
Good understanding of data in general, OLTP and OLAP systems, SQL and NoSQL technologies
Advantages:
Salary according to profile
Benefits in kind: (restaurant tickets: 9? / day, payment of transport costs: 50%)
Mutuelle 50%
Employee savings plan
Several possibilities for career development.
