We are seeking a Data Engineer with experience in designing, developing, and maintaining data pipelines, ETL processes, and scraping solutions. The selected candidate will be responsible for ensuring the proper ingestion, transformation, and availability of data from multiple sources, thereby supporting data-driven decision-making.
Key Responsibilities
- Design, develop, and maintain robust and scalable data pipelines.
- Implement and optimize ETL/ELT processes to integrate data from multiple sources.
- Develop web scraping solutions to collect structured and unstructured data.
- Ensure data quality, integrity, and reliability.
- Document data processes, workflows, and implemented architectures.
- Monitor and troubleshoot issues related to data pipelines and processes.

Requirements
- Previous experience as a Data Engineer or in a similar role.
- Strong knowledge of ETL processes and data pipelines.
- Experience in web scraping (e.g., using Python, BeautifulSoup, Scrapy, or similar tools).
- Solid experience with SQL and/or NoSQL databases.
- Programming skills in Python (or another relevant data-oriented language).
- Experience with version control systems (Git).

📌 Data Engineer (Argentina)
🏢 Siriusbeach
📍 Argentina