Join Plexus Tech. We are currently looking for a colleague to join us as a Senior Python Developer.
Revise detenidamente toda la documentación de la solicitud antes de hacer clic en el botón de solicitar al final de esta descripción.
Requirements
Bachelor’s degree in Computer Science, Information Systems, or a related field. Experience: 4+ years as a Python developer, ideally in ETL. Experience with data processing libraries such as PySpark and/or Pandas.
Experience designing and managing ETL pipelines.
Experience with AWS (Glue, S3, CloudWatch Events) is a plus.
Familiarity with managing large datasets in Big Data clusters.
Experience with Docker and containerized environments.
Familiarity with CI/CD tools such as Jenkins and SonarQube.
Experience with version control systems such as Git.
Commitment to clean code principles to ensure readable and high-quality code.
Containers: Docker. AWS knowledge: Glue, S3, CloudWatch Events (nice to have).
Big Data: Experience managing Big Data clusters.
Data processing: Optimization of workflows and performance in distributed environments. Version control: Git.
CI/CD tools: Jenkins, SonarQube, and similar.
Clean code principles: Best practices for maintainable, readable, and efficient code. Results‑oriented mindset: Ability to develop and maintain efficient and scalable ETL processes.
Attention to detail: Accuracy in processing and transforming large datasets.
Teamwork: Collaboration with data analysts, data scientists, and DevOps teams. Adaptability: Willingness to learn and apply new tools and technologies as needed.
Problem‑solving: Ability to diagnose and resolve issues related to data processing and Big Data infrastructure.
Attention to detail: Commitment to writing clean, maintainable, and efficient code.
With our hybrid model, Flexology allows you to work where your talent flows best: from any of our 24 offices across Spain, from home, or combining both. xhfqzwm The Plexus Tech work ecosystem fosters a collaborative environment across the company.
Work with top-tier professionals
Access to continuous learning and training
Career growth opportunities
#J-18808-Ljbffr
or continue with email
Revise detenidamente toda la documentación de la solicitud antes de hacer clic en el botón de solicitar al final de esta descripción.
Requirements
Bachelor’s degree in Computer Science, Information Systems, or a related field. Experience: 4+ years as a Python developer, ideally in ETL. Experience with data processing libraries such as PySpark and/or Pandas.
Experience designing and managing ETL pipelines.
Experience with AWS (Glue, S3, CloudWatch Events) is a plus.
Familiarity with managing large datasets in Big Data clusters.
Experience with Docker and containerized environments.
Familiarity with CI/CD tools such as Jenkins and SonarQube.
Experience with version control systems such as Git.
Commitment to clean code principles to ensure readable and high-quality code.
Containers: Docker. AWS knowledge: Glue, S3, CloudWatch Events (nice to have).
Big Data: Experience managing Big Data clusters.
Data processing: Optimization of workflows and performance in distributed environments. Version control: Git.
CI/CD tools: Jenkins, SonarQube, and similar.
Clean code principles: Best practices for maintainable, readable, and efficient code. Results‑oriented mindset: Ability to develop and maintain efficient and scalable ETL processes.
Attention to detail: Accuracy in processing and transforming large datasets.
Teamwork: Collaboration with data analysts, data scientists, and DevOps teams. Adaptability: Willingness to learn and apply new tools and technologies as needed.
Problem‑solving: Ability to diagnose and resolve issues related to data processing and Big Data infrastructure.
Attention to detail: Commitment to writing clean, maintainable, and efficient code.
With our hybrid model, Flexology allows you to work where your talent flows best: from any of our 24 offices across Spain, from home, or combining both. xhfqzwm The Plexus Tech work ecosystem fosters a collaborative environment across the company.
Work with top-tier professionals
Access to continuous learning and training
Career growth opportunities
#J-18808-Ljbffr
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