Data Engineer (Argentina)

Data Engineer (Argentina)

10 ago
|
Pavago
|
Argentina

10 ago

Pavago

Argentina

Data Engineer – Remote
Position Type: Full-Time, Remote
Working Hours: U.S. Client Business Hours (flexibility for pipeline monitoring, deployments, and data refresh cycles)
About the Role
At Pavago, one of our clients is hiring a Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and business decision-making.
You’ll build reliable data pipelines, optimize data warehouses, ensure data quality, and collaborate with engineering, analytics, and business teams to deliver trusted, high-performance data solutions.
What You’ll DoData Pipelines & Integration
Build and maintain ETL/ELT pipelines using Python, SQL, or Scala.
Orchestrate workflows with Airflow, Prefect, Dagster, or similar tools.
Integrate data from APIs, databases, SaaS platforms, files, and streaming sources.
Develop scalable data ingestion workflows.
Data Warehousing & Modeling
Manage cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Design scalable data models and schemas.
Optimize warehouse performance through partitioning, clustering, and indexing.




Build analytics-ready datasets for reporting and BI.
Data Quality & Governance
Implement validation, monitoring, and anomaly detection.
Maintain documentation, lineage, and data governance standards.
Ensure reliable, audit-ready data processes.
Monitor pipeline health and resolve failures proactively.
Streaming & Real-Time Processing
Build and maintain real-time data pipelines.
Support event-driven architectures and streaming platforms.
Optimize performance and reliability of streaming workflows.
Collaboration & Analytics
Partner with analysts, data scientists, and business teams.
Support reporting initiatives in Power BI, Tableau, Looker, or similar platforms.
Translate business requirements into scalable data solutions.
Document pipelines, workflows, and data models.
Infrastructure & Automation
Deploy data services using Docker and Kubernetes.
Support CI/CD pipelines and cloud infrastruct

📌 Data Engineer (Argentina)
🏢 Pavago
📍 Argentina

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