Data Engineer - Lakehouse & Databricks (Remote LATAM)

Micro Talent; Medellín; A distancia; COP 280.260.000 - 373.680.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible remote/Hybrid opportunities

Continuous learning & professional dev

Employee wellbeing culture

Descripción de la vacante

INSPYR Global Solutions seeks an experienced Data Engineer to join our Data Platforms team in an offshore/nearshore capacity. You will design, build, govern, and support reliable data pipelines, data models, and modern lakehouse solutions enabling enterprise reporting, analytics, and operational use cases.

You will collaborate with U.S.-based product owners, architects, and analytics teams during overlapping business hours.

Formación

• Strong SQL skills with complex queries and performance tuning.
• Hands-on experience with Azure Databricks and modern lakehouse architectures.
• Experience with Databricks medallion architecture (Bronze-Silver-Gold).
• Knowledge of Master Data Management concepts in Databricks.
• Experience building data models and Power BI semantic models in Databricks.
• Proficiency with Azure DevOps, Git, CI/CD processes.
• Data governance, security, access controls, and platform standards.
• Experience integrating data via APIs and Azure services (ADF, Key Vault, Storage, Functions).
• Experience integrating on-premises and cloud data sources.
• Understanding of data warehousing, dimensional modeling, and lakehouse patterns.

Responsabilidades

• Design, develop, and maintain ETL/ELT pipelines using ADF, Databricks or equivalent.
• Support Databricks medallion architecture (Bronze/Silver/Gold layers).
• Develop SQL transformations and Power BI semantic models in Databricks.
• Apply data governance, security, metadata, and data quality standards across Databricks.
• Support Databricks administration and platform operations (workspace, clusters, permissions).
• Ingest and transform data from ERP systems, databases, files, APIs into cloud data platforms.
• Apply MDM concepts for enterprise data consistency and trust.
• Modernize legacy pipelines toward cloud lakehouse architectures.
• Develop CI/CD pipelines and deployment processes using ADO, Git.
• Integrate and support Azure services (ADF, Key Vault, Storage, Functions, Runbooks).
• Work with APIs for data integration and automation.
• Support AI/agentic application development leveraging enterprise data.
• Ensure data quality, reliability, performance, and error handling in production pipelines.
• Collaborate with U.S.-based stakeholders on requirements and design.
• Provide operational support for existing data pipelines and Databricks envs.

Conocimientos

SQL

Azure Databricks

Databricks architecture

MDM concepts

Power BI modeling

Azure DevOps

CI/CD

APIs integration

Security & governance

Agile/Scrum

Herramientas

Databricks

ADF

Azure DevOps

Git

Descripción del empleo

INSPYR Global Solutions seeks an experienced Data Engineer to join our Data Platforms team in an offshore/nearshore capacity. You will design, build, govern, and support reliable data pipelines, data models, and modern lakehouse solutions enabling enterprise reporting, analytics, and operational use cases.

You will collaborate with U.S.-based product owners, architects, and analytics teams during overlapping business hours.