Senior Data Engineer — Remote, BigQuery & Pipelines

samy1; Colombia; A distancia; COP 180.000.000 - 276.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible schedule

100% remote work

Global mobility opportunities

Descripción de la vacante

SAMY is seeking a Senior Data Engineer to design, build, and optimize scalable data solutions within the Google Cloud Platform ecosystem. You will develop pipelines, ETL/ELT processes, and data models to enable business decision-making.

Responsibilities include SQL optimization, data warehouse modeling, and API data ingestion using Python, with a focus on data quality, performance, and collaboration with Analytics, BI, and Engineering teams.

Formación

• 5+ years of experience in data engineering or similar
• Advanced SQL skills with complex transformations
• Experience developing Python scripts for data ingestion
• Design and maintain ETL/ELT pipelines
• Experience with data integration tools like Fivetran or Supermetrics
• Knowledge of Google Cloud Platform data storage/processing
• Understanding of Data Warehousing concepts and dimensional modeling

Responsabilidades

• Develop and optimize SQL queries for data transformation and analysis.
• Design and maintain Data Warehouse models.
• Develop Python scripts to ingest data from APIs.
• Automate data ingestion, transformation and validation processes.
• Manage and optimize large datasets using Google BigQuery.
• Integrate multiple data sources using Fivetran, Supermetrics, or similar platforms.
• Ensure data quality, consistency, and reliability across pipelines.
• Collaborate with Analytics, BI, and Engineering teams to deliver scalable data solutions.
• Identify opportunities to improve data architecture and performance.

Conocimientos

5+ years data engineering experience

Advanced SQL

Python scripting

ETL/ELT design

Data warehousing concepts

GCP knowledge

Herramientas

Google BigQuery

Fivetran

Supermetrics

GCP ecosystem

Descripción del empleo

SAMY is seeking a Senior Data Engineer to design, build, and optimize scalable data solutions within the Google Cloud Platform ecosystem. You will develop pipelines, ETL/ELT processes, and data models to enable business decision-making.

Responsibilities include SQL optimization, data warehouse modeling, and API data ingestion using Python, with a focus on data quality, performance, and collaboration with Analytics, BI, and Engineering teams.