AI-First Data Engineer: Build Scalable Data Pipelines

PALO IT; Palo Alto; Presencial; MXN 2.037.000 - 3.056.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

International mobility

Personalized training via PALO IT

Descripción de la vacante

PALO IT is seeking a Data Engineer to build scalable data pipelines and secure data platforms for an insurance-focused client. You will design, implement, and govern data flows from transactional systems to analytics layers, enabling advanced models and dashboards.

Join a global, AI-first consultancy that values collaboration, modern data tooling, and secure, scalable data architectures across AWS, GCP, or Azure.

Formación

• Experience building data pipelines in cloud environments.
• Strong Python and SQL skills for data transformation.
• Knowledge of data quality, lineage and governance.
• Hands-on with Spark, dbt, Kafka, Airflow and cloud warehouses.

Responsabilidades

• Design, build, and maintain scalable data pipelines in cloud environments.
• Integrate large volumes of structured and unstructured data from systems.
• Automate ingestion, transformation, and quality checks.
• Build data lakes and warehouses (Snowflake, BigQuery, Redshift).
• Implement data quality, lineage, and governance validations.
• Collaborate with data scientists and stakeholders to enable analytics.
• Document architectures, pipelines, and standards.

Conocimientos

Data pipelines

Python

SQL

English communication

Cloud platforms

Data governance

Collaboration

Educación

Bachelor's degree in a relevant field

Herramientas

Spark

dbt

Kafka

Airflow

Snowflake

BigQuery

Redshift

Azure Data Factory

Synapse

Descripción del empleo

PALO IT is seeking a Data Engineer to build scalable data pipelines and secure data platforms for an insurance-focused client. You will design, implement, and govern data flows from transactional systems to analytics layers, enabling advanced models and dashboards.

Join a global, AI-first consultancy that values collaboration, modern data tooling, and secure, scalable data architectures across AWS, GCP, or Azure.