Lead/Senior .Net Engineer with AWS (offline)

Project Overview:

Our customer is one of the most well-known brands in the Automotive parts industry: an international corporation with over a hundred years of history. We are engaged with European based branch to support their efforts in Digital and eCommerce space. Our team works on cloud infrastructure and solutions that facilitate sales and marketing of their products in the US region (~50 countries).

Responsibilities:
- Work with Client associates from IT and Data Science/Platform teams to build new digital products;
- Work closely with Client data scientists and data engineers to develop digital solutions and industrialize diverse data science applications;
- Help set-up and manage the administration of key cloud technology systems.

Requirements:
- 4+ years of experience in a cloud solution development;
- Bachelor's or master's degree in Computer Science or related fields;
- Strong knowledge and working experience with Microsoft Azure cloud platform;
- Experience with cloud development technologies and frameworks (AWS, C#, .NET, Entity Framework Core, ETL);
- Web technologies such as HTML, JavaScript, XML, jQuery, etc.;
- Database technologies (SQL Server, Oracle);
- Experience with object-oriented software design and service-oriented architectures;
- Working experience with enterprise solutions and databases, and their integration with banking or fintech solutions is a plus;
- Strong knowledge in ESB software, it's design, implementation and deployment;
- Experience with implementing and configuring service binding in enterprise solution;
- Agile/Scrum methodologies familiarity;
- Intermediate English level is a must;
- Self-motivated, well-organized, details-oriented and a strong team player.

Responsibilities:
- Take active part in cloud solution design, implementation and deployment;
- Participate in AWS solution development, bugfix and maintenance;
- Develop new features for commercial enterprise solution;
- Provide estimates for development packages;
- Resolve issues and conduct their root-cause analysis;
- Elaborate and suggest system improvements;
- Take part in overall architecture design;
- Take part in API design;
- Configure and tailor solution in response to business changes.

About Data Science UA

Company website:
https://data-science-ua.com/