We are looking for a Data Engineer with focus on Data Analytics and Data Warehousing to integrate a challenging project!

The project aims to create a central platform for reporting and dashboarding. Various data will be integrated, a central data warehouse will be built to store the data and accessibility will be optimized to create KPI reports in real time. In addition, a user interface will be developed that is accessible from all relevant end devices.

Your main responsabilities:

• Assist in defining, managing, and documenting data analytics platform requirements;
• Design, develop, implement, and document data warehouses that support data analysis requirements and adhere to performance and availability standards;
• Design, develop, implement, and document data pipelines to acquire, prepare, and store data in the data warehouse using data engineering standard (ETL/ELT);
• Design, develop, implement, and document the data delivery layer upon which the analysis tools and user interface are built to view and generate reports in real time;
• Design test cases, create test scripts and test data, perform system integration testing, and automate the deployment process;
• Design, develop, implement, and document monitoring and alerting checks for data pipelines;
• Perform routine data quality checks and cleanups;
• Collaborate on review work with others.

What do I need to bring:

• Google Cloud Platform, Terraform, GitLab;
• Kubernetes, Docker, Airflow, DBT, Dataflow , Data Hub;
• BigQuery, BigTable;
• Python, SQL;
• Power BI.

What can Syone offer me:

• Integration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions;
• Strong IT training plans;
• Professional evolution with intervention in ambitious technological projects, both national and internationally.