Python & SQL Data Engineer (Middle/Senior) ID32276

AgileEngine, LLC.; San Carlos de Bariloche; Presencial; ARS 136.430.000 - 181.906.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

Education budget

Team activities

Flextime

Descripción de la vacante

AgileEngine, LLC. is seeking a data engineer to build and optimize data pipelines, design Snowflake data models, and create dashboards for business insights in Bariloche. You will improve observability, collaborate with stakeholders, and drive automation across analytics workflows.

The role emphasizes SQL, Python, Airflow, and DBT expertise, with a focus on reliable data integration and scalable analytics solutions across cloud services.

Formación

• 3+ years of data modeling experience, Kimball preferred.
• Strong SQL proficiency and experience with Snowflake or similar warehouses.
• Python for data processing and automation.
• Hands-on ETL pipeline experience using Airflow or equivalent.
• Hands-on DBT for data transformation and testing.
• Experience consuming APIs and integrating data with Snowflake.
• Ability to develop simple Tableau dashboards.
• Familiar with AWS services, especially S3.
• Strong analytical and problem-solving skills.
• Willingness to improve and automate processes.

Responsabilidades

• Build and optimize data pipelines for reliable integration and transformation.
• Design and maintain Snowflake tables and data models for analytics and reporting.
• Enhance data observability to identify and resolve issues.
• Create dashboards and workflows to deliver business insights.
• Collaborate with stakeholders to ensure project transparency and success.

Conocimientos

SQL

Python

ETL

Airflow

DBT

Snowflake

Tableau

APIs

GitLab CI/CD

AWS S3

Herramientas

Snowflake

Airflow

DBT

Tableau

GitLab CI/CD

Docker

Descripción del empleo

BARILOCHE, Argentina

What you will do

• Build and optimize data pipelines to ensure reliable integration and transformation;
• Design and maintain Snowflake tables and data models for analytics and reporting;
• Enhance data observability to proactively identify and resolve issues;
• Create dashboards and workflows to deliver business insights;
• Collaborate with stakeholders to ensure project transparency and success.

Must haves

• +3 years of experience in data modeling principles/methods, especially Kimball ;
• Strong proficiency in SQL and experience working with Snowflake or similar cloud-based data warehouses;
• Strong proficiency in Python for data processing and automation;
• Hands‑on experience building ETL pipelines using Apache Airflow or similar orchestration tools;
• Hands‑on experience using DBT for data transformation, modeling, and testing;
• Strong experience consuming APIs and integrating data with Snowflake;
• Ability to develop simple Tableau dashboards;
• Proficiency in GitLab CI/CD workflows for continuous integration and deployment;
• Familiarity with AWS services, especially S3 ;
• Strong analytical and problem‑solving skills;
• Innovative and productivity‑driven mindset - willingness to improve and automate processes;
• Ability to adapt to business needs and stakeholder requirements;
• Ability to communicate work clearly;

Nice to haves

• Basic knowledge of local development using Docker;
• Tableau or any BI development experience.

The benefits of joining us

• Professional growth

  Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

• Competitive compensation

  We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities.

• A selection of exciting projects

  Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands.

• Flextime

  Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.