Data Engineer (AWS, OOP, Datalake, Datawarehouse, SQL, Python)

Description

Job Summary: We are seeking a Senior Data Engineer to lead the evolution of our data layer, ensuring that information is available, reliable, and ready to support operations, product, and Data Science models. Key Responsibilities: 1. Design and optimize ETL pipelines and data architectures. 2. Implement data quality, monitoring, and integrity processes. 3. Collaborate cross-functionally with multidisciplinary teams. We are looking for our next **Senior Data Engineer** to lead the evolution of our data layer and ensure that information is available, reliable, and ready to support operations, product, and Data Science models. ***What will you do?*** * Design and optimize ETL pipelines and data architectures. * Integrate customer data sources such as APIs, SQL, Salesforce, HubSpot, and other systems. * Normalize data into scalable and reliable data schemas. * Implement data quality, monitoring, and integrity processes. * Collaborate cross-functionally with Data Science, Product, and Operations teams. * Document pipelines, architectures, and technical decisions. ***What are we looking for?*** * Experience in Data Engineering. * Experience with **OOP, Pandas, Git** * Experience with **Python, SQL, Spark, Airflow, dbt**, or similar tools. * Advanced proficiency in **SQL/NoSQL databases**. * Experience with **AWS, GCP, or Azure**. * Knowledge of **Data Warehouses, Data Lakes, and data modeling**. * Autonomy, analytical thinking, and ability to collaborate with multidisciplinary teams. ***Conditions*** * **Location:** Argentina * **Engagement Model:** Contractor / Service Provider * **Workload:** 48 hours per week * **Compensation:** USD via VITA Wallet * **Working Hours:** Primarily aligned with Mexico. Work Location: Remote Salary: $1\.824,00 \- $2\.280,00 per month Work Location: Remote