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Data Engineer — Join ready, Lima (Hiring Now)
Data Engineer con experiencia en el desarrollo de soluciones de datos en entornos Cloud, principalmente sobre Azure.
Con conocimientos sólidos en Databricks, Python, PySpark y Scala, enfocado en la construcción, optimización y mantenimiento de procesos ETL y pipelines de datos.
Dominio de bases de datos relacionales y consultas avanzadas utilizando SQL, PL/SQL y T-SQL.
Experiencia trabajando con Spark SQL, desarrollo de procesos de ingeniería de datos en la nube, manejo de repositorios mediante GitHub y prácticas de integración y despliegue continuo (CI/CD).
Se valoran conocimientos adicionales en herramientas BI/ETL, así como experiencia en plataformas cloud como AWS y/o GCP.
Responsabilidades
Diseñar, desarrollar y mantener pipelines de datos escalables utilizando Databricks, PySpark, Python y Scala.
Implementar procesos de extracción, transformación y carga (ETL/ELT) para integrar datos provenientes de múltiples fuentes.
Desarrollar y optimizar consultas, procedimientos almacenados y modelos de datos utilizando SQL, PL/SQL y T-SQL.
Gestionar y procesar grandes volúmenes de información en entornos Cloud, principalmente sobre Microsoft Azure.
Crear y mantener notebooks, jobs y workflows en Databricks para el procesamiento eficiente de datos.
Garantizar la calidad, integridad y disponibilidad de los datos mediante controles y validaciones automatizadas.
Colaborar con equipos de analítica, BI y negocio para comprender requerimientos y convertirlos en soluciones de datos.
Implementar buenas prácticas de desarrollo, control de versiones y automatización utilizando GitHub y herramientas de CI/CD.
Experiencia en Databricks (mínimo 1 año).
Experiencia en GitHub y CI/CD (mínimo 1 año).
Manejo de Python, PySpark, Scala y Spark SQL.
Dominio de SQL, PL/SQL y T-SQL.
Experiencia desarrollando procesos de datos en Azure Cloud.
Disponibilidad para proyecto de al menos 6 meses.
Ubicación: Latinoamérica.
Inglés: No requerido.
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Lima, Peru (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Lima, Peru using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1786 jobs in Peru and 1026 jobs in Lima. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Join ready 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: Data Engineer Jobs Lima.
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 Join ready adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs Peru 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.
Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring 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.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer interview at Join ready, 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 Join ready'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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