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Peru Jobs Expertini

Data Engineer Job Opening In Lima – Now Hiring Codeable Labs


Job description

Sobre Codeable Labs

Codeable Labs nace del expertise y talento de Codeable, el Instituto de Desarrollo de Software que forma profesionales de alto nivel en tecnología.

Somos el Partner Tecnológico de nuestros clientes: guiamos decisiones estratégicas, lideramos equipos y transformamos ideas en productos digitales de manera ágil y efectiva.

La posición

Buscamos un/a
Data Engineer
, líder en infraestructura financiera en Latinoamérica.

La persona será responsable de
diseñar, optimizar y mantener soluciones de datos a gran escala
, habilitando análisis e información en tiempo real que impulsen la toma de decisiones estratégicas.

En este rol, trabajará con tecnologías modernas como
AWS, Snowflake y Confluent Cloud
, participando activamente en la arquitectura y evolución de plataformas de datos escalables, seguras y eficientes.

Además, colaborará estrechamente con equipos de producto, ingeniería y analítica para asegurar que los modelos de datos respalden el crecimiento e innovación del negocio.

Responsabilidades

  • Diseñar, implementar y mantener
    pipelines de datos en tiempo real, event-driven y batch
    , asegurando su operación continua y monitoreo proactivo.

  • Administrar y optimizar el
    Data Warehouse
    , aplicando buenas prácticas en modelado, calidad de datos y eficiencia de costos.

  • Participar en la definición e implementación de
    políticas de gobernanza de datos
    , garantizando la seguridad y cumplimiento normativo del sector financiero.

  • Colaborar con equipos multidisciplinarios para asegurar la alineación de los modelos de datos con los objetivos de producto y experiencia de usuario.

  • Analizar e identificar oportunidades de mejora en el rendimiento, escalabilidad y confiabilidad de los sistemas de datos.

  • Mantenerse actualizado/a sobre las
    tendencias y herramientas emergentes
    en ingeniería de datos, promoviendo la adopción de buenas prácticas.

  • Contribuir a la
    documentación técnica
    , supervisión de procesos y estandarización de flujos de trabajo.

Lo que buscamos

  • +2 años de experiencia
    en ingeniería de datos, con enfoque en pipelines escalables y modelado de datos.

  • Título universitario en
    Ingeniería de Sistemas, Computación, Ciencias de la Computación o carreras afines
    .

  • Experiencia en desarrollo de
    pipelines de datos en Python y SQL
    , tanto en entornos
    event-driven, batch y real-time
    .

  • Conocimiento de
    servicios cloud (preferencia AWS)
    y herramientas como
    Snowflake, Glue, Lambda, Kinesis, S3, CloudWatch
    , entre otros.

  • Experiencia en
    automatización de infraestructura y despliegue (IaC)
    , preferiblemente con
    Terraform o Terragrunt
    , y manejo de
    GitHub/GitHub Actions
    .

  • Deseable conocimiento en
    gobernanza de datos
    , privacidad, políticas de acceso y retención de información.

  • Experiencia deseable en
    arquitecturas escalables y resilientes
    para procesamiento de datos en tiempo real.

  • Habilidad para gestionar grandes volúmenes de información, garantizando seguridad y eficiencia.

  • Nivel avanzado de inglés
    (indispensable).

  • Deseable experiencia en
    entornos Fintech o de pagos
    y conocimiento del mercado
    LatAm
    .

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.

1149 Jobs in Peru
1149
456 Jobs in Lima
456
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 Codeable Labs 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.

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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

Codeable Labs 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 Codeable Labs'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 Codeable Labs, 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 Codeable Labs'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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