Responsabililities: Data Infrastructure Development: Design, build, and maintain scalable data infrastructure on cloud platforms for data processing to support various data initiatives and analytics needs within the organization Data Pipeline Implementation: Design, develop and maintain scalable data pipelines to ingest, transform, and load data from various sources into cloud-based storage and analytics platforms using Python, and SQL Performance Optimization: Optimize data processing workflows and cloud resources for efficiency and cost-effectiveness.
Implement data quality checks and monitoring to ensure the reliability and integrity of data pipelines.
Build and optimize data warehouse solutions for efficient storage and retrieval of large volumes of structured and unstructured data.
Data Governance and Security: Implement data governance policies and security controls to ensure compliance and protect sensitive information across environment.
Collaboration and Support: Collaborate with cross-functional teams to understand data requirements and provide technical support for data-related initiatives and projects.
Creating visually appealing and interactive dashboards incorporating a variety of charts, graphs and visualizations to effectively present complex data in an easily understandable format Design, build and deploy BI solutions using tools such as Tableau Perform quality assurance checks on new or enhanced reports.
You have 5 extra vacation days out of the legal 15 days 2 depe day per year Working home if you are sick you can work from home Men will be given two weeks for when they have a child.
Supplementary insurance - Bice Lunch at the office, you can select from less than 8 options They have snacks in the office Trainings: they have two types, for the first year Performance bonus 50% and 300% of salary.
After the first year of work.
After two years.
The two years are for Master they give a % scholarship for the master.
proficient.