Develop and maintain a cloud-based Data Warehouse, handling everything from initial design to ongoing support of the environment;
Perform analytical modeling, implement Data Marts, and create reusable data transformations between them;
Automate processes by building ETL/ELT pipelines;
Serve as the data specialist within the Finance area, ensuring best practices and standards defined by the central data team are applied across all developments;
Create monitoring dashboards and design KPIs that meet the Finance team's needs.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field;
Advanced knowledge of SQL, databases, and ELT processes;
Experience in Data Mart modeling and data transformation;
Experience with Power BI;
Experience with cloud platforms, preferably Google Cloud Platform (GCP);
Familiarity with Git, DevOps concepts, and source code management practices;
Plus: Knowledge of dbt.
Benefits
Meal allowance or food voucher;
Multi-benefit card;
Transportation voucher, parking, or company shuttle;
Health and dental plans with no co-pay (including dependents);
Life insurance (effective from the first day of employment);
Attractive annual bonus;
Partnerships with universities and educational institutions;
Health and wellness programs (telemedicine and online psychotherapy);
TotalPass (platform providing access to over 20,000 gyms and partners in psychology, nutrition, and wellness as a single benefit);
Birthday day off.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLData WarehouseETLELTData Mart modelingdata transformationanalytical modelingKPI designdbt
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in MathematicsBachelor's degree in Statistics