Data Engineer - Databricks

About the role

Data Analytics is one of Evalueserve’s highest-growth practices, offering career opportunities. Established in 2014, the global Data Analytics team includes more than 1000 data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering.

Responsibilities

• Design, develop, and automate scalable ETL/ELT pipelines for data warehouse, data lake, and lakehouse environments using technologies such as Azure Databricks, Apache Spark, Python, and SQL.
• Modernize data integration processes and build cloud-native pipelines using Databricks, Delta Lake, Azure Data Factory, or similar technologies.
• Partner with business and technical stakeholders to translate business needs into data products, platforms, and engineering solutions.
• Develop scalable data architectures and reusable data models for enterprise applications, business intelligence, advanced analytics, and AI/ML use cases.
• Collaborate with BI and analytics teams to deliver trusted, analytics-ready datasets and enhance reporting environments using Power BI or similar platforms.
• Implement data quality, automated testing, documentation, metadata, lineage, security, and governance practices using Unity Catalog or equivalent frameworks.
• Work with DevOps teams to establish source control, CI/CD, and Test-Driven Development practices using GitHub, Azure DevOps, GitHub Actions, or comparable tools.
• Optimize platform performance, scalability, reliability, operational efficiency, and cloud costs.

Requirements

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field.

Datos clave

• El puesto es Data Engineer - Databricks en Evalueserve.
• La ubicación indicada es Santiago, Chile.
• Se requiere una licenciatura en Engineering, Information Systems, Computer Science o un campo relacionado.