Our client from the Pharma sector is seeking a Data Engineer (0,5 fte) S to join their team and have a real impact on product and company development from day one.
If you want to work with an experienced team and thrive in an environment where your ideas and initiative are highly valued, this role is for you!
responsibilities :
Collaborate with the App Backup and Recovery team and the Data Lifecycle Management team to develop a data solution within the DataOne Platform (Snowflake).
Build a data product designed to store and provide access to information about the status and capacity of backup and storage systems, the application protection levels , and the outcomes of restoration processes.
Design and implement ETL pipelines to extract, transform, and load data from internal repositories and databases into Snowflake tables, ensuring all processes are well-documented.
Support the team responsible for the data product in taking full ownership, empowering them to independently handle tasks that don’t require external support.
Guarantee structured and easily accessible data for analysis and reporting purposes.
Maintain clear documentation and promote best practices in data pipeline development and management.
requirements-expected :
Experience with the Snowflake platform, including data storage and management.
Proficiency in writing queries and processing data using SQL.
Ability to design, implement, and maintain ETL processes for data extraction, transformation, and loading.
Hands-on experience with Talend for managing ETL workflows.
Familiarity with version control systems and CI/CD pipelines using GitLab.
Knowledge of data access control and security tools such as Immuta.
Experience with data observability and monitoring tools like Monte Carlo.
Skill in data visualization and analytics using tools like Tableau or ThoughtSpot.
Strong ability to collaborate effectively with cross-functional teams.
Excellent documentation skills to support project tracking and workflows.
