GCP Data Engineer - Pipelines, DBT, Airflow

Lever, Inc.; México; Presencial; MXN 800 000 - 1 200 000; Tempo integral

Resumo da oferta

Lever, Inc. seeks a Data Engineer to design and deploy cloud-based data pipelines on GCP, ingesting data from databases, APIs and streaming sources with a focus on reliability and scalability.

The role requires deep GCP knowledge, BigQuery, SQL, Python, Airflow, and modern data transformation tools, with collaboration across data scientists, analysts and business stakeholders in a multinational setting.

Qualificações

• At least 4 years of experience as a Data Engineer with GCP cloud infra.
• Deep knowledge of Google Cloud Platform and cloud services.
• Design, build, and deploy data pipelines in the cloud ingesting data from databases, APIs or streaming sources.
• Proficient in SQL and Python; design and manage databases for performance and reliability.
• Strong data modeling and query optimization skills.
• Knowledge of orchestration tools (Airflow).
• Experience with ETL/ELT and data integration across multiple sources.
• Familiarity with modern data transformation tools (DBT, Dataform).
• Excellent communication and ability to work with cross-functional teams and clients.
• Experience in multinational environments and distributed teams.

Conhecimentos

GCP expert

BigQuery

SQL

Python

Data pipelines

Data modeling

Airflow

ETL/ELT

DBT/Dataform

Data integration

Git/Jira/Confluence

Communication

Client discussions

Multinational teams

Ferramentas

Git

Jira

Confluence

BigQuery

Descrição da oferta de emprego

Lever, Inc. seeks a Data Engineer to design and deploy cloud-based data pipelines on GCP, ingesting data from databases, APIs and streaming sources with a focus on reliability and scalability.

The role requires deep GCP knowledge, BigQuery, SQL, Python, Airflow, and modern data transformation tools, with collaboration across data scientists, analysts and business stakeholders in a multinational setting.