Senior Data Engineer: HR Data Pipelines in Snowflake & AI

AgileEngine

Bogotá ciudad

Presencial

COP 280.260.000 - 467.101.000

Jornada completa

Hace 8 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD compensation
Exciting projects with Fortune 500 and
Flextime

Descripción de la vacante

AgileEngine seeks a Senior/Lead Data Engineer to build and maintain HR data pipelines and semantic models in Snowflake and DBT. You will enable BI and AI-driven access, design ontology layers, and deploy AI agents for HR use cases with secure MCP connections.

The role focuses on real-time data processing, REST data ingestion, and optimized SQL in a fast-paced, people-first environment with strong growth opportunities.

Formación

  • 4+ years of data engineering experience.
  • Snowflake data modeling, datamarts and data warehouse design.
  • DBT for data transformations.
  • Python programming including OOP and data scripting.
  • Airflow for pipeline orchestration.
  • REST API integration and data ingestion.
  • Google BigQuery querying and optimization.
  • Secure handling of large-scale data.
  • Real-time data processing capabilities.
  • Strong SQL with optimized queries.
  • Comprehensive documentation skills.
  • Upper-intermediate English.

Responsabilidades

  • Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python in a cloud environment for HR data sources.
  • Build the infrastructure and tooling for ETL from diverse sources using Python, DBT, Terraform, and AWS services (Glue, EMR, S3).
  • Identify process improvements, develop tests in the Data Quality Framework, and monitor pipelines for 99.5% uptime.
  • Design semantic views and ontology layers on top of dbt models for BI tools and AI agents.
  • Develop and deploy AI agents for HR use cases enabling natural-language querying over HRDM data.
  • Configure MCP connections between Snowflake and internal AI tooling to expose HR data securely.

Conocimientos

4+ years of experience
Upper-intermediate English
Real-time data processing
REST API integration
Secure handling of large-scale data
Strong SQL

Herramientas

Snowflake
DBT
Python
Airflow
Google BigQuery
Terraform
AWS (Glue, EMR, S3)

Descripción del empleo

AgileEngine seeks a Senior/Lead Data Engineer to build and maintain HR data pipelines and semantic models in Snowflake and DBT. You will enable BI and AI-driven access, design ontology layers, and deploy AI agents for HR use cases with secure MCP connections.

The role focuses on real-time data processing, REST data ingestion, and optimized SQL in a fast-paced, people-first environment with strong growth opportunities.

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