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Ingeniero de Datos con Databricks - Remoto Job Opening In WorkFromHome – Now Hiring LHH


Job description

Resumen

#LHHRecruitmentSolutions está en la búsqueda de un/a Ingeniero de Datos con Databricks, SQL y Python para una importante empresa del sector tecnológico.

¿Eres un/a profesional con habilidades técnicas avanzadas, dominio de herramientas como Databricks, SQL y Python, y nivel bilingüe en inglés?

¡Entonces esta vacante es para ti!

Tu misión:

Serás responsable de desarrollar, implementar y optimizar soluciones de análisis y gestión de datos utilizando Databricks, SQL y Python.

Trabajarás en un entorno dinámico y global, colaborando con equipos multifuncionales para extraer valor de los datos y aportar insights clave para la toma de decisiones estratégicas.

Responsabilidades

  • Desarrollar, implementar y optimizar soluciones de análisis y gestión de datos utilizando Databricks, SQL y Python.

Requisitos

  • Experiencia sólida: Mínimo 1 año de experiencia en proyectos relacionados con Databricks, manejo avanzado de SQL y programación en Python.

  • Inglés: Bilingüe; necesidad de comunicarse de manera fluida con equipos y clientes internacionales.

  • Perfil: Analítico y orientado a resultados; capacidad para resolver problemas complejos mediante soluciones innovadoras.

Detalles

  • Salario competitivo entre $8.800.000 y $ , acorde a tu experiencia.

  • Modalidad 100% remota: Trabaja desde cualquier lugar con un equipo global.

#J-18808-Ljbffr

Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Ingeniero de Potential: Insight & Career Growth Guide


Real-time Ingeniero de 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 Ingeniero de in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Ingeniero de roles.

77159 Jobs in Colombia
77159
19900 Jobs in Workfromhome
19900
Download Ingeniero De Jobs Trends in Workfromhome and Colombia

Are You Looking for Ingeniero de Datos con Databricks Remoto Job?

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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 LHH 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 Ingeniero de Datos con Databricks Remoto 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 Ingeniero de Datos con Databricks Remoto?

Key qualifications for Ingeniero de Datos con Databricks Remoto 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.

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Interview Tips for Ingeniero de Datos con Databricks Remoto Job Success

LHH interview tips for Ingeniero de Datos con Databricks   Remoto

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Before the Interview:

Research: Learn about the LHH'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.

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

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Final Thought:

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