Semi-Senior

Julia Developer

Data

A Julia Developer specializes in utilizing the Julia programming language, known for its high performance in computational science and numerical analysis. This role involves designing, developing, and optimizing software solutions to tackle complex mathematical and technical problems, often focusing on data-intensive tasks. Julia Developers work closely with data scientists, engineers, and other stakeholders to create efficient, scalable applications. They employ their deep understanding of Julia's capabilities to write clear, maintainable code and implement algorithms that drive innovation and improve performance in various scientific and analytical domains.

Responsabilities

A Julia Developer is responsible for designing and developing high-performance software applications with a strong focus on computational science, numerical analysis, and data-intensive tasks. They analyze complex mathematical problems, translate them into efficient Julia code, and ensure the solutions are scalable and maintainable. This role requires close collaboration with data scientists and engineers to integrate algorithms and optimize performance across various scientific and analytical applications. Additionally, Julia Developers review and contribute to codebases, maintain thorough documentation, and continuously monitor the performance and functionality of applications to make iterative improvements.

Another key responsibility of a Julia Developer is to stay updated with the latest advancements in the Julia programming language and related technologies. They must regularly engage with the Julia community, share knowledge, and contribute to open-source projects or internal libraries. Problem-solving and debugging play a significant role, requiring them to troubleshoot issues, optimize code, and ensure robust and efficient performance. By leveraging their deep understanding of Julia's capabilities, they assist in the design of workflow processes, recommend best practices, and mentor junior developers to cultivate a high-standard development environment.

Recommended studies/certifications

Skills - Workplace X Webflow Template

Skills

Machine Learning
Python
Excel
Data Governance
R Programming
Reporting
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Tech Stack

ETL Tools
AWS
Data Visualization
Python
Azure
Data Warehousing
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Hiring Cost

90000
yearly U.S. wage
43.27
hourly U.S. wage
36000
yearly with Vintti
17.31
hourly with Vintti
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