Python & SQL Data Engineer (Middle/Senior) ID32276

AgileEngine, LLC.; Región Centro; Ibrido; MXN 1.629.000 - 2.353.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Mentorship

Competitive compensation (USD)

Challenging projects

Flexitime

Remote work

Descrizione del lavoro

AgileEngine, LLC. seeks a data engineer to design and optimize data pipelines, build Snowflake data models for analytics, and deliver reliable insights through dashboards.

You will collaborate with stakeholders, implement ETL using Airflow and DBT, and enhance data observability while enabling BI solutions for business teams.

Competenze

• 3+ years of data modeling principles/methods, Kimball style.
• Proficiency in SQL and Snowflake or similar warehouse.
• Proficiency in Python for data processing and automation.
• Experience building ETL pipelines with Airflow or similar tools.
• Experience using DBT for data transformation, modeling, testing.
• Experience consuming APIs and integrating data with Snowflake.
• Ability to develop simple Tableau dashboards.
• Familiar with GitLab CI/CD workflows.

Mansioni

• 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.

Conoscenze

SQL

Python

Snowflake

ETL pipelines

Airflow

DBT

API integration

Tableau

GitLab CI/CD

AWS S3

Data modeling

Strumenti

Docker

Kubernetes

Descrizione del lavoro

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :)

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.

Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours . Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod , which will guide you through the process.