Job Description
You will work with the 6th-largest privately owned organization in the United States. The customer is one of the “Big Four” accounting organizations and the largest professional services network in the world by revenue and the number of professionals. The company provides audit, tax, consulting, enterprise risk and financial advisory services to more than 263,900 professionals globally.
Project:
The platform creates exponential value for clients by combining technology and business transformation on a global scale. Our teams will work within the platform and will create resources that will be responsible for:
● requesting, tracking, and collecting data from our clients in a more efficient and automated manner
● slashing the time required to cleanse, validate, and prepare data (for completeness and accuracy) for downstream analysis
● combining professional experience and an immense collection of content with emerging technologies to discover patterns and anomalies in client data to automatically flag issues, identify opportunities, and assist in planning for upcoming needs
The platform launched a year ago and uses only the latest technologies and modern architectural approaches:
● Net Core 3.1
● Angular 12
● Mongo
● Azure SaaS/PaaS
● Docker, K8s
● Azure ADLS Gen2, Informatica, Databricks, Spark, Levy, Python, Scala, and Machine Learning
Responsibilities:
● Design and implement microservices
● Focus on usability, performance, scale, extensibility
● Work with large amounts of data
● Optimize the application for maximum speed and scalability
● Work both independently and in close collaboration with others on the team
Requirements:
● Minimum 5 years of experience developing .NET applications
● Good knowledge of .NET Core
● Good knowledge of microservice architecture
● Familiarity with Angular 11 (optional)
● Hands-on experience with Azure PaaS/SaaS
● Good knowledge of MongoDB
● Good verbal and written communication skills
● Ability to work with distributed systems and multi-process environment
Nice to have:
● Bachelor or Master’s degree in computer science, computer engineering, or a related field
● Big data experience: Spark, Databricks, ADLS, Informatica, Scala, Python, and Machine Learning
Skills:
.Net .NET Core microservices Angular 11 Azure PaaS/SaaS MongoDB Big data