Descripción del puesto
KEY RESPONSIBILITIES
- Responsible for extracting, processing, grouping and analyzing data generating the relevant reports.
- Create automated processes, where possible, to complete certain tasks involving large amounts of data.
- Communicate with internal customers to resolve inconsistencies found.
- Identify opportunities for improvement by increasing efficiency.
- Detailed review of files and import data to the production database.
- Maintain and ensure the integrity of the internal bases.
- Elaboration of Dashboards from different data sources.
- Database & Query Optimization: Design, tune, and optimize complex SQL queries to improve performance and reduce execution times on production databases.
- Advanced Data Cleaning: work on deep debugging processes, data transformation, and strict validation of metrics and formats in large volumes of data using Python/SQL.
- API Data Consumption: Extract, process, and analyze data retrieved from third-party REST APIs to incorporate into reporting and analytical workflows.
- High-Performance Processing: Design and implement highly efficient data pipelines utilizing vectorized operations to minimize execution time on large datasets.
- Concurrent Workflows: Optimize data extraction and API consumption by implementing asynchronous programming and multithreading/multiprocessing solutions.
- Server & Environment Management: Deploy scripts, manage remote connections via CLI (SSH) and configure Python virtual environments.
Requisitos
PREVIOUS EXPERIENCE REQUIRED
- 2+ years of previous experience in similar jobs.
- Experience with SQL (MySQL, PostgreSQL), including proven experience in Performance Tuning and database optimization.
- Experience with Python (Pandas, Numpy, Plotly, Requests, logger, etc.), with a strong focus on vectorized operations and dependency management using virtual environments (venv, conda).
- Experience with concurrent execution (AsyncIO, Multithreading) to accelerate data workflows.
- Practical experience consuming REST APIs.
- Practical experience with Command Line Interfaces (CLI), including SSH access, checking active connections, and basic server navigation.
- Experience with Notebooks (Jupyter, Collab).
- Big data analysis.
KNOWLEDGE
- Microsoft 365 tools at an advanced level, especially Excel (pivot tables).
- Extra data analysis tools (R, Tableau, Power BI & Salesforce) will be considered a plus.
- Computer skills and ability to quickly learn new technologies.
- FLUENT advanced conversational English is REQUIRED.
Detalles
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Nosotros
We are a data-driven technology organization dedicated to building innovative SaaS solutions that help businesses make smarter, faster decisions. Our products are used by international clients across multiple industries, enabling them to transform complex data into clear insights and real business impact.
Behind every great product is a great team — and that’s where we come in. Through our partnership with a leading Latin American technology firm, we connect top engineering talent with global projects that challenge creativity and technical excellence. Together, we combine the innovation and analytical strength of a U.S.-based data company with the agility and expertise of a LATAM development center, forming a powerful collaboration focused on quality, growth, and long-term impact.
We value collaboration, curiosity, and continuous improvement — and we’re looking for professionals who share that same passion for building technology that makes a difference.
