Empleos de Python Software Engineer

The customer is a US dental clinic network that provides hassle-free, personalized, and straightforward dental services with a focus on patient happiness. Members are able to book visits to New York dental offices online via the website, manage their upcoming visits & treatment with an online account. As a Senior Software Engineer, you’ll work across teams and use cutting edge tech to solve interesting, large-scale problems. Creating at a rapid pace you’ll make a direct and lasting impact anywhere that technology powers our business.

We are currently looking for a remote Senior Software Engineer with 3+ years of experience in Python development, experience with Node.js and Django knowledge to join our team. The customer is a medical group practice that specializes in cosmetic dentistry. As a Senior Software Engineer, you’ll work across teams and use cutting edge tech to solve interesting, large-scale problems. Creating at a rapid pace you’ll make a direct and lasting impact anywhere that technology powers our business.

The customer is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. The main pool of tasks is associated with the development of a new-gen eCommerce platform.

We are currently looking for a remote Senior Software Engineer with 3+ years of Python experience, proficiency in AWS services to join our team. The customer is one of the world's leading pharmaceutical healthcare companies. Its principle business is medicines, biologics, vaccines, and consumer and animal products.

We are currently looking for a remote Senior Python Software Engineer with good command of Python and AWS experience to join our team. The customer is one of the world’s largest providers of financial markets data and infrastructure, serving over 40,000 institutions in approximately 190 countries. It provides leading data and insights, trading platforms, and open data and technology platforms that connect a thriving global financial markets community - driving performance in trading, investment, wealth management, regulatory compliance, market data management, enterprise risk and fighting financial crime. The project goal is to improve the existing application by enhancing current model used in it.

The customer is one of the world’s largest providers of financial markets data and infrastructure, serving over 40,000 institutions in approximately 190 countries. It provides leading data and insights, trading platforms, and open data and technology platforms that connect a thriving global financial markets community - driving performance in trading, investment, wealth management, regulatory compliance, market data management, enterprise risk and fighting financial crime. The main pool of tasks is associated with the development of the different initiative in the scope of the customer’s desktop API stream.

In this role, you need to have a good understanding of Linux, networking, and distributed architectures. As a senior member, you'll work with management, peers, and customers to define and implement the technical vision and collaborate with machine learning (ML) engineers and software engineers to develop innovative tools using cutting-edge technologies.

The ideal candidate should have a strong background in AWS, Python, and Data Warehousing. The successful candidate must be able to lead a team of data engineers, organize teamwork, and solve technical and non-technical challenges. The candidate should have excellent communication and collaboration skills with the ability to work efficiently with cross-functional teams.

You will be responsible for designing, developing, and maintaining data processing systems and supervised learning models for our projects. You must be confident in your ability to write code that is clean, efficient, and scalable and have a strong foundation in quality unit testing.

The ideal candidate will have Big Data technologies, primarily Spark, work with cross-functional teams to design, develop, and deploy high-performance data pipelines.