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Peru Jobs Expertini

Data Engineer Job Opening In Lima – Now Hiring VASS


Job description

¿Ingeniero/a de Datos?

¿Buscas seguir creciendo en las mejores condiciones y con la mayor cercanía y flexibilidad?

Esto te interesa

En VASS, compañía líder en soluciones tecnológicas, estamos buscando Data Engineer con experiencia en Databricks para unirse a nuestro equipo de Data & AI.

¿Qué harás?

  • Construcción y/o adecuaciones de los motores existentes para el procesamiento de datos.

  • Propuesta y/o atención de mejoras continuas.

  • Atención de requerimientos de ingesta de datos.

  • Creación de herramientas de apoyo para el trabajo con los datos.

  • Iniciativas constantes que se puedan aplicar en el área para mejorar los procesos existentes.

¿Qué valoramos?

  • Al menos 3 años de experiencia como
    Ingeniero/a de datos
    .

  • Egresados de la carrera de Ingeniería de Sistemas, Ciencias de la Computación, Informática o afines.

  • Manejo de sentencias
    SQL
    .

  • Conocimiento de
    Python
    ,
    Scala
    y
    Databricks
    .

  • Conocimiento de
    GitHub
    .

  • Conocimientos de
    Azure
    (ADLS, Event Hubs, Functions).

  • Conocimientos de metodologías y prácticas ágiles (Scrum, Kanban, entre otras).

Si tienes interés en formar parte de un equipo innovador que impulsa la transformación digital en el sector, nos encantará conocerte INSCRÍBETE AHORA

Required Skill Profession

Other General


  • Job Details

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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 Lima, Peru, highlighting market share and opportunities for professionals in Data Engineer roles.

1147 Jobs in Peru
1147
460 Jobs in Lima
460
Download Data Engineer Jobs Trends in Lima and Peru

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a Data Engineer 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 VASS 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 Peru laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Lima. 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?

Key qualifications for Data Engineer typically include Other General 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?

To improve your chances of getting hired for Data Engineer, 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 Job Success

VASS interview tips for Data Engineer

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

Before the Interview:

Research: Learn about the VASS'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 interview at VASS, 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 VASS'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!

How to Set Up Job Alerts for Data Engineer Positions

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