Senior Data Engineer: Cloud Data Platform & Airflow Expert

Cashea; Caracas; Presencial; VES 48.900.000 - 81.500.000; Jornada completa

Descripción de la vacante

Cashea is seeking a Senior Data Engineer to own the data platform that turns raw operational data into analytics-ready data for the company. You will scale Airflow/Cloud Composer, extend dbt on BigQuery, and manage Datastream CDC pipelines on GCP.

You will design scalable data transformations, improve automation with GitHub Actions, and mentor engineers to raise data engineering standards across teams.

Formación

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years in data engineering or a closely related role, building and operating production data platforms at scale.
• Strong hands-on experience with Apache Airflow (Cloud Composer): DAG design, operators, scheduling, and scaling orchestration as pipeline counts grow.
• Strong hands-on experience with dbt, including incremental models, testing, macros, and managing a large model graph.
• Solid hands-on experience with BigQuery: data modeling, partitioning and clustering, query optimization, and cost control.
• Solid experience operating data services on Google Cloud Platform (GCP).
• Proficiency in Python for pipeline and operator development, and strong SQL.
• Comfort with Git-based workflows and CI/CD (GitHub Actions or similar), treating data pipelines with the same rigor as application code.
• Strong communication and stakeholder skills, with a genuine teaching mindset and the ability to mentor others.
• Excellent problem-solving and analytical thinking, with genuine curiosity about new technology.

Responsabilidades

• Own the health, performance, and scalability of our Cloud Composer (Airflow) environments, including environment sizing, worker autoscaling, DAG parse performance, and orchestration reliability across staging and production.
• Design and extend our dbt on BigQuery transformation layer: incremental and CDC merge models, deduplication and SCD patterns, macros, tests, and source freshness across the bronze, silver, and gold layers.
• Own our Datastream CDC pipelines feeding BigQuery, keeping the PostgreSQL to BigQuery flow healthy across schemas, backfills, and replication.
• Build and improve our DataOps: CI/CD for DAGs and dbt with GitHub Actions and Workload Identity Federation, automated testing, deploy smoke tests, and safe promotion across environments.
• Drive data quality and observability, freshness checks, lineage, dbt-artifact capture, and alerting so issues surface before consumers notice them.
• Define and champion data engineering standards for model design, incrementality, idempotency, and safe change processes, and mentor engineers through reviews, pairing, and documentation.
• Partner with platform, product, and analytics teams as the bridge that makes the data platform self‑serve, working within our OpenTofu and Terragrunt Infrastructure-as-Code.

Conocimientos

Cloud Composer

dbt

BigQuery

GCP

Python

SQL

Airflow

GitHub Actions

OpenTofu

Terragrunt

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Datastream

Terragrunt

Terraform/OpenTofu

Descripción del empleo

Cashea is seeking a Senior Data Engineer to own the data platform that turns raw operational data into analytics-ready data for the company. You will scale Airflow/Cloud Composer, extend dbt on BigQuery, and manage Datastream CDC pipelines on GCP.

You will design scalable data transformations, improve automation with GitHub Actions, and mentor engineers to raise data engineering standards across teams.