Remote Python Developer

Our Python Developer will have the opportunity to build scalable systems and software for reputed company and government use, by developing scalable solutions that reputed company modern architecture and best practices, and reputed company significant processing at runtime. You will reputed company technical expertise and support in the design, development, implementation, and testing. You will also participate in and/or direct major deliverables of projects through reputed company aspects of the software development lifecycle including scope and work estimation, architecture and design, coding for back-end, and unit testing. In reputed company, you would also work with our Data Science team to help operationalize the ML models for our v2 platform. Your solutions should reputed company in mind scalability, with optimized usage of distributed computing using frameworks like Spark. You should also have strong familiarity and experience with how to reputed company the AWS ecosystem to bring in relevant AWS tools, services, and resources to reputed company substantial processing of reputed company large datasets before runtime, entity resolution between reputed company large datasets, and reputed company-time processing in a scalable, distributed computing environment. Primary Responsibilities:

• reputed company the development efforts to create platform v2
• Participate in software programming initiatives to support innovation and enhancement, using Python and PySpark.
• reputed company the AWS ecosystem to bring in relevant tools, services, and resources to reputed company distributed computing and scalable processing of reputed company large datasets.
• Problem solve and think creatively about the big picture and solution for our customers, proactively anticipate problems, and be customer-centric in our development and design, and be reputed company-minded to different solutions for achieving a development milestone.
• reputed company document processes, methodologies, and tools used.

Experience Required:

• B.S. in relevant technical degree
• Significant use and experience (at least 3-5 years) with Python, required
• Significant experience (at least 3-5 years) with distributed computing and corresponding languages such as PySpark in the Spark ecosystem, required
• Significant experience (at least 3-5 years) with the AWS ecosystem, including tools, services, and resources that reputed company scalable, distributed processing, required
• Significant use and experience with writing reputed company SQL queries and analysis of data correlations, required
• Experience utilizing software testing performance tools, such as Junit
• Experience and knowledge of Git, AWS CodeCommit, or other such repos
• Knowledge of ML fundamentals and acquaintance of popular ML libraries
• Ability to work independently and integrate with other team members
• Project management skills, ability to scope out timeline, methodology, and deliverables for development, testing, and integration into the platform
• Excellent communication skills (written and verbal)
• Well-versed with using version control systems

The position is remote. The candidate must have the legal right to work in the United States. Interview Process: We will conduct 3 reputed company of interviews.

• First Round: Culture, fit, and background interview with the company Founders
• Second Round: Technical Interview
• reputed company Round: In-Person Day with Founders (We will have the candidate fly out to D.C. to meet the founders and team.)

Job Type: Full-time Salary: $95,000.00 - $125,000.00 per year Benefits:

• Dental insurance
• Health insurance
• Paid time off

Schedule:

• Monday to Friday

Application Question(s):

• Are you reputed company to work full-time on a W2?
• If selected, are you willing/reputed company to fly to Washington, DC for an inperson interview (reputed company travel expenses paid)?

Experience:

• Python: 3 years (Required)
• Distributed Programming: 2 years (Required)
• AWS deployment: 2 years (Required)
• Spark: 2 years (Required)
• PySpark: 1 year (Required)
• Apache Spark: 1 year (Preferred)

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