Cloud Data Engineer: Snowflake & AWS Pipelines

Plan A Technologies, Inc.

Colombia

A distancia

COP 254.445.000 - 381.667.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Vacation
Brand New Laptop

Descripción de la vacante

Plan A Technologies, Inc. is seeking an experienced Data Software Engineer to build and evolve a modern enterprise data platform in a cloud-first environment.

You will work with analysts, data scientists, software engineers, and stakeholders to deliver trusted, secure data solutions powering analytics, reporting, and AI use cases. Requirements include 3+ years in data engineering and hands-on experience with Snowflake and AWS.

Formación

  • Bachelor’s degree in computer science, information systems, engineering, or related field, or equivalent practical experience.
  • 3+ years of experience in data engineering, software engineering, analytics engineering, or related technical discipline.
  • Hands-on experience building and supporting production data pipelines, integration workflows, and data transformations using SQL and Python.
  • Experience with cloud-native data platforms and services, preferably AWS and Snowflake.
  • Understanding of data modeling, ETL/ELT patterns, orchestration, and data lifecycle management for analytics and operational use cases.
  • Working knowledge of modern software delivery practices, including version control, code review, testing, CI/CD, and Agile methods.
  • Ability to troubleshoot and support production workloads with attention to reliability, performance, and root cause analysis.
  • Understanding of data quality, governance, lineage, security, and privacy principles in enterprise environments.
  • Strong analytical, problem-solving, and communication skills, with the ability to work effectively with technical and non-technical stakeholders.
  • Must be willing and able to work a flexible schedule to include holidays, nights, and weekends.

Responsabilidades

  • Partner with business and technology teams to turn data, reporting, and platform needs into scalable solutions and prioritized engineering work.
  • Design, build, and support batch and near-real-time data pipelines, data products, and integration workflows using Snowflake, AWS, and approved enterprise technologies.
  • Write clean, maintainable code in SQL, Python, and related languages while following engineering standards, code review practices, and automated testing.
  • Develop data transformation, modeling, and orchestration patterns that improve usability, consistency, performance, and speed to delivery.
  • Strengthen platform reliability through monitoring, alerting, logging, data quality checks, and effective production support.
  • Contribute to CI/CD, infrastructure automation, and environment management practices that improve delivery speed, consistency, and security.
  • Apply governance, lineage, security, and privacy standards throughout the data development lifecycle.
  • Troubleshoot pipeline failures, performance issues, schema changes, and data defects across development, test, and production environments.
  • Create clear technical documentation, operational runbooks, and engineering standards that improve maintainability and team knowledge sharing.
  • Collaborate across platform, application, analytics, and product teams to expand reusable components and advance data platform maturity.
  • Perform other duties as assigned.

Conocimientos

SQL
Python
AWS
Snowflake
ETL/ELT
Data modeling
CI/CD
Communication
Cloud computing

Educación

Bachelor's degree in CS/IS/Engineering
Equivalent practical experience

Herramientas

dbt
Airflow

Descripción del empleo

Plan A Technologies, Inc. is seeking an experienced Data Software Engineer to build and evolve a modern enterprise data platform in a cloud-first environment.

You will work with analysts, data scientists, software engineers, and stakeholders to deliver trusted, secure data solutions powering analytics, reporting, and AI use cases. Requirements include 3+ years in data engineering and hands-on experience with Snowflake and AWS.

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