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Data Engineer (Snowflake) Middle Job Opening In WorkFromHome – Now Hiring Babel Group.


Job description

**Consent** if you disagree.Depending on the period of time they remain active on the terminal equipment:of the usage data made by users of the **MODIFICATIONS**The website , owned by BABEL SISTEMAS DE INFORMACION S.L, reserve the right to modify this cookie policy based on legal requirements or to adapt it to instructions issued by the Spanish Data Protection Agency.

We recommend users to visit it periodically.

Users will users will be notified by email or on the website if they have registered.The BABEL SISTEMAS DE INFORMACION S.L. websiteSnowflake Developer Middle page is loaded## Snowflake Developer Middleremote type: Full Remotelocations: BOGOTÁtime type: Full timeposted on: Posted Todayjob requisition id: JR We are **One Team.** We **make it happen.** We are**Unstoppable.****Babel, enriching people through technology**BABEL es una consultora tecnológica multinacional especializada en aplicar sus servicios y conocimiento tecnológico en los procesos de aceleración digital de sus clientes, grandes empresas y organismos públicos.¡Miramos hacia el futuro! Nuestro **plan estratégico Hiperespacio 2029** promete ser un viaje emocionante, **lleno de oportunidades** para crecer y desarrollarse profesionalmente.

Alcanzar **1000 millones** de facturación, un reto que estamos seguros de que con la **colaboración** y el **talento** de nuestra gente, será otra historia de éxito que escribiremos juntos y juntas.En Babel estamos en la búsqueda de **Snowflake Developer Middle,** el cual será responsable de diseñar, construir y optimizar procesos de datos sobre la plataforma Snowflake, aplicando tus conocimientos en SQL, Python y Scala para transformar datos en activos confiables y de alto valor para las áreas de negocio.

Trabajar junto a ingenieros y arquitectos de datos en proyectos de analítica avanzada, automatización y migración a la nube.

______________ Responsabilidades principales 1.Diseñar y desarrollar pipelines ETL/ELT eficientes utilizando Snowflake y herramientas de orquestación (Airflow, dbt, Fivetran, Matillion o similares).

2.Escribir y optimizar consultas SQL complejas, asegurando el rendimiento y la correcta partición de datos.

3.Implementar transformaciones en Python o Scala para procesamiento de datos, validación y automatización.

4.Gestionar y monitorear warehouses Snowflake, con buenas prácticas de auto-suspend, caching y gobernanza.

5.Colaborar con equipos de BI y Data Science garantizando la calidad, trazabilidad y seguridad de los datos.

6.Participar en la documentación técnica, versionamiento y control de cambios bajo Git y CI/CD.

______________ Requisitos técnicos •2 a 4 años de experiencia total en desarrollo de datos o ingeniería de datos.

•Experiencia mínima de 1 año en Snowflake (Data Warehouse o Data Lakehouse).

•Dominio de SQL avanzado (CTE, window functions, optimización de queries).

•Conocimientos prácticos en Python (pandas, snowflake-connector, scripting) y nociones de Scala (Spark).

•Comprensión de modelado de datos (esquemas estrella y copo de nieve).

•Conocimiento básico en DataOps, Git, CI/CD y herramientas de integración (Airflow/dbt).#babel## **Babel, the great way to achieve the success.**Trabajar en Babel es mucho más que trabajar en una empresa, es unirse a un equipo de personas con una misión compartida y a un modelo de compañía centrado en valores.**Además,****•** Foco en trabajar con últimas tecnologías y proyectos innovadores, pero sobre todo, acompañamos a la transformación digital y acercamos la tecnología a la sociedad.**•** Comunicación y transparencia: Siempre estarás informado de las últimas noticias de la compañía.• Contribuimos a la formación constante de nuestros *Babelievers*.• Programa de promociones profesionales y desarrollo de talento.• Trabajo con proyectos de diversos países lo que nos permite aprender de diferentes culturas.

• Contribuimos en tu salud física y emocional (Charlas, competencias deportivas).

• Participamos del crecimiento de la compañía, reconocemos la participación de cada persona con nuestro bono solidario.• Apostamos por la flexibilidad laboral – personal.

• Bono por referidos.• Convenios comerciales según sede.*En cumplimiento de la normativa vigente en materia de protección de datos te informamos que el responsable de tus datos personales es GRUPO BABEL (consultar empresas en la política de privacidad), y los utilizará para gestionar tus procesos de selección, tanto actuales como futuros y el resto de finalidades descritas en la web.

Este tratamiento está basado en el consentimiento del candidato.

Los datos personales recabados no serán en ningún caso cedidos a terceros salvo por obligaciones legales expresas.

Puedes ejercer los derechos que te asisten sobre protección de datos en la dirección Toda la información sobre política de privacidad en nuestra web.**At Babel, you'll work in a unique work environment where the value of people as a team, the revolutionary power of technology and, of course, a great atmosphere prevail.

Promise! If you are looking for growth and to work with happy, enthusiastic over-achievers, you'll enjoy your career with us!*### Get In TouchIntroduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match.

**#1 Top Workplace in the area.**
#J-18808-Ljbffr

Required Skill Profession

Bases De Datos, Analítica Y Bi


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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Data Engineer roles.

67481 Jobs in Colombia
67481
60579 Jobs in Workfromhome
60579
Download Data Engineer Jobs Trends in Workfromhome and Colombia

Are You Looking for Data Engineer (Snowflake) Middle Job?

Great news! is currently hiring and seeking a Data Engineer (Snowflake) Middle to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Babel Group. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Data Engineer (Snowflake) Middle Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer (Snowflake) Middle?

Key qualifications for Data Engineer (Snowflake) Middle typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineer (Snowflake) Middle?

To improve your chances of getting hired for Data Engineer (Snowflake) Middle, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer (Snowflake) Middle Job Success

Babel Group. interview tips for Data Engineer (Snowflake) Middle

Here are some tips to help you prepare for and ace your Data Engineer (Snowflake) Middle job interview:

Before the Interview:

Research: Learn about the Babel Group.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer (Snowflake) Middle interview at Babel Group., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Babel Group.'s products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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