Remote position in México Data Engineer Role Overview The Data Engineer is responsible for designing, building, and maintaining scalable, cloud native data pipelines and data infrastructure that support analytics, reporting, business intelligence, and real-time data processing. 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 Databricks o Azure Data Lake Storage (ADLS) o Azure Synapse Analytics o Azure Event Hubs o Azure Functions o Azure API Management o Azure DevOps • Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables. • Expertise in API development, API integration, RESTful services, and micros

📌 Azure data engineer (México)
🏢 Valce Talent Solutions
📍 México