Backend Developer

About Client:

The Client is a leading global IT services and consulting company, providing a wide range of services to clients in various industries, including banking, financial services, retail, manufacturing, healthcare, and more. It is one of the largest employers in the IT industry and has a vast and diverse workforce. The company places a strong emphasis on employee training and development. Client is known for its commitment to innovation and invests in research and development to stay at the forefront of technological advancements.

It offers a comprehensive set of services, including:

1. IT Services: Application development, maintenance, and testing.
2. Consulting: Business consulting, IT strategy, and digital transformation.
3. Business Process Outsourcing (BPO): Outsourcing of business processes to improve efficiency.
4. Enterprise Solutions: Implementation and support of enterprise-level software solutions.
5. Digital Services: Services related to digital technologies, such as analytics, cloud, and IoT.

Salary Range: $120K-$130K/Annum

Job Description:

• We are looking for an experienced / senior Backend OR Full Stack Engineer to help us update/maintain our existing study data pipeline and help bring up some Client application. The ideal candidate is able to:
• Understand complex data pipelines and learn quickly how to maintain/upgrade them.
• Get familiar with the data being collected and look for ways to make data collection/cleaning/storage more efficient.
• Build new backend tools.
• Apply Client methods to help with data analysis (regression, sentiment analysis, computer vision, etc).
• Work cross-functionally and adapt analysis quickly.
• Bonus: if Full stack engineer, a bonus would be building E2E applications (backend and frontend) on iOS devices (using Xcode).
• The candidate has to be able to work exceptionally well and efficiently in a fast-paced environment and multitask between data analysis requests, tasks, and projects.

Skills:

• Pro level Python
• R (optional)
• Track record working with complex datasets + integration across multiple systems
• Data Viz tools like R Shiny, Tableau (nice to have)
• Excellent communication skills
• Statistical analysis (hypothesis testing, statistical modeling, power analysis ...)
• Git
• Very well organized
• Work exceptionally well in a fast-paced environment, and be able to multitask between tasks/projects.