Title: Senior Data Engineer OR Architect
100% REMOTE – Latam

About the Role
We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines that support analytics, reporting, data science, and AI initiatives.
The idóneo candidate has strong hands-on experience with Databricks, Apache Spark, Python, SQL, and cloud data platforms, along with a solid understanding of data architecture, ETL/ELT, data quality, and performance optimization.
Key Responsibilities
Design, develop, and maintain highly scalable data pipelines and ETL/ELT workflows.
Build and optimize data engineering solutions using Databricks and Apache Spark.
Develop robust batch and streaming data pipelines using Python and SQL.
Implement data processing and transformation using PySpark.
Design and maintain data lake/lakehouse architectures using technologies such as Delta Lake.
Develop reliable data ingestion pipelines from databases, APIs, files, and cloud-based sources.
Build and maintain data models for analytics, reporting, and downstream applications.




Implement data quality, validation, monitoring, and error-handling frameworks.
Optimize Spark jobs, SQL queries, clusters, and data pipelines for performance and cost.
Develop workflows and orchestration using Databricks Workflows, Airflow, or similar tools.
Work with cloud data platforms such as AWS, Azure, or GCP.
Implement CI/CD and automated deployment practices for data pipelines.
Collaborate with data scientists, analysts, software engineers, architects, and business stakeholders.
Participate in architecture and design discussions and provide technical leadership to junior engineers.
Troubleshoot production data issues and ensure high availability and reliability of data pipelines.
Establish and enforce data engineering best practices, coding standards, and documentation.
Required Qualifications
10+years of professional experience in data engineering.
Strong hands-on experience with Databr

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