Data Engineer
Role Overview
The Data Engineer is responsible for designing, building, and maintaining scalable, cloudnative data pipelines and data infrastructure that support analytics, reporting, business
intelligence, and real-time data processing. This role ensures that data is accessible,
reliable, secure, and optimized for performance across enterprise platforms. The Data
Engineer collaborates with business stakeholders, analysts, data scientists, and
application teams to deliver high-quality data solutions using modern cloud, big data, and
API-driven technologies.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time
data processing.
• Build and optimize data models, Delta Tables, and Lakehouse architectures to
support analytics and reporting.
• Develop and integrate RESTful APIs and data services to facilitate seamless data
exchange across enterprise systems.
• Implement real-time and high-frequency data ingestion frameworks using streaming
technologies and event-driven architectures.




• Design and manage cloud-native data solutions leveraging Azure services including
Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics.
• Develop and optimize Databricks Spark applications for large-scale data
transformation and processing.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with data scientists, analysts, application teams, and business
stakeholders to deliver scalable data solutions.
• Troubleshoot, monitor, and optimize pipeline performance and data platform
reliability.
• Support DataOps and CI/CD practices for data pipeline deployment and
automation.
Required Skills & Qualifications
• Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and
MySQL.
• Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala.
• Hands-on experience with Azure Cloud technologies:
o Azure Data Factory (ADF)
o Azure Databr

📌 Data Engineer (México)
🏢 Valce Talent Solutions
📍 México