Senior Staff Engineer - Data Engineer

Nagarro; Colombia; A distancia; COP 172.526.166 - 249.204.462; Jornada completa

Descripción de la vacante

A digital product engineering firm in Colombia is seeking a skilled Data Engineer to design, build, and maintain scalable data solutions. The ideal candidate will have expertise in Advanced SQL and Snowflake, along with experience in Python and AWS. You will work on building data pipelines, automation, and collaborating with cross-functional teams to deliver reliable data solutions. A strong understanding of data warehousing and dbt is essential. This role offers an opportunity to be part of a dynamic and innovative team.

Formación

• Strong proficiency in Advanced SQL, with extensive Snowflake experience.
• Solid experience with Python for scripting, automation, and API integrations.
• Hands-on experience with AWS services.
• Strong understanding of data warehousing concepts.
• Practical experience using dbt in production environments.

Responsabilidades

• Design, develop, and optimize complex SQL queries and data models.
• Build and maintain ELT/ETL pipelines.
• Develop Python scripts for automation and data processing.
• Work with AWS services to support data workflows.
• Implement and manage data transformations using dbt.

Conocimientos

Advanced SQL

Snowflake

Python

AWS

ETL Concepts

dbt

Git

Descripción del empleo

Company Overview

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

We are seeking a highly skilled and motivated Data Engineer / Analytics Engineer to design, build, and maintain scalable data solutions. The ideal candidate will have strong expertise in SQL and Snowflake, hands‑on experience with modern data tooling, and a passion for automation, analytics, and collaboration.

Key Responsibilities

• Design, develop, and optimize complex SQL queries and data models in Snowflake
• Build and maintain ELT/ETL pipelines using best practices in data warehousing
• Develop Python scripts for automation, data processing, and API integrations
• Work with AWS services such as Glue, Lambda, S3, and CloudFormation to support data workflows
• Implement and manage data transformations using dbt, including testing and documentation
• Design and maintain data warehouse schemas (star, snowflake, and other dimensional models)
• Integrate and consume REST APIs, handling CRUD operations efficiently and securely
• Collaborate with analytics, product, and engineering teams to deliver reliable data solutions
• Use Git for version control and contribute to CI/CD pipelines for data and code deployments
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability

Required Skills & Qualifications

• Strong proficiency in Advanced SQL, with extensive Snowflake experience
• Solid experience with Python for scripting, automation, and API integrations
• Hands‑on experience with AWS (Glue, Lambda, S3, CloudFormation, or similar services)
• Strong understanding of data warehousing concepts, including modeling, schema design, and ETL/ELT
• Practical experience using dbt in production environments
• Familiarity with Git and modern CI/CD practices
• Understanding of REST APIs and CRUD operations
• Strong analytical thinking, problem‑solving skills, and attention to detail
• Excellent communication skills and a collaborative mindset

Essential Qualifications

Must have Skills: Snowflake, ETL Concepts (Strong), DBT

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