Devops AWS

This role will involve transforming raw data into meaningful insights that can support operational and strategic decision-making. The position requires someone comfortable working with large datasets, structuring data pipelines, and presenting insights in a clear and actionable format.

Requirements:
- Strong experience with SQL for querying and data manipulation
- Proficiency in R or Python for data analysis
- Experience exporting and working with Firebase data
- Hands-on experience with Microsoft Fabric and Power BI for reporting and dashboard development
- Experience with data cleaning, ETL processes, and dataset normalization
- Ability to translate complex data into clear visual reports and insights
- Strong communication and documentation skills

Responsibilities:
- Export and consolidate data from multiple sources including Firebase and SQL databases
- Clean, transform, and structure raw datasets for analysis and reporting
- Write efficient SQL queries to extract and manipulate data
- Perform data analysis using R or Python
- Design and maintain dashboards and reports using Microsoft Fabric and Power BI
- Identify trends, anomalies, and insights from operational or customer data
- Document data models, processes, and queries for ongoing reporting
- Collaborate with internal stakeholders to understand reporting needs and deliver actionable insights

Would be a plus:

- Experience building automated data pipelines
- Experience integrating multiple data sources (APIs, cloud databases, SaaS tools)
- Experience working with large operational or customer datasets
- Familiarity with cloud data environments

Work conditions:

- The ability to work remotely from anywhere in the world;
- Flexible work schedule, no micromanagement, no strict deadlines and free overtime work;
- Work in European and American products with a modern technology stack in different domains (Finance, Technology, Health, Construction, Media, AI, Blockchain, etc.);
- Revision of wages every year or on an individual basis;
- Accounting support;
- 100% compensation for remote English lessons;
- 15 paid leaves (PTO) and public holidays.