AWS with Python Developer

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We are looking for a Python developer with AWS in Bangalore, Karnataka, India.

Our software engineers must comprehend what motivates our clients before they can write a single line of code. What kind of surroundings exist? What is the basis for the user story? To implement something is to try, test, and refine results until a workable solution appears. The exchange of knowledge entails conversations with peers worldwide.

Job Description for a Python developer with AWS

  • Creating and delivering product components in compliance with organizational quality standards and customer requirements. The tasks that need to be completed are as follows:
  • Analyzing requirements and designing software solutions in accordance with architectural and design specifications.
  • Adding features and/or fixing bugs and providing high-quality, timely solutions that adhere to coding standards.
  • Determining and putting into practice unit and integration tests to make sure the solution satisfies customer needs and that the product’s quality and security standards are met.
  • Conducting code reviews and creating and supporting pertinent documentation (specifications for requirements, designs, and tests).
  • Ensuring that the solution is integrated and submitted within the agreed-upon delivery timelines to the software configuration management system.
  • Regularly coordinating technical matters with stakeholders, reviewing them, and making sure that any necessary escalations are reported on time.

Job Requirements/Abilities

  • Seven to eight years of software engineering work experience, primarily in the development of professional software products. 
  • Proficiency in Python coding and AWS.
  • Adaptable enough to work with and learn any programming language as needed.
  • It’s beneficial to have prior QBT file creation experience.
  • skilled in report creation, data transformation, and data integration.
  • Skilled at using AWS Glue, S3, Lambda, and a pipeline to load files from various sources in different file formats. The pipeline also includes multiple transformations for data sanitization with new components using Terraform.
  • Familiarity with Datadog.
  • Added knowledge of drill-through, drill-down, and filtering capabilities for improved user interaction;
  • Used Power Query to transform and clean data, making sure it’s ready for consumption.
  • Strong understanding of cross-platform rendering issues between major browsers and platforms is advantageous;
  • Experience in software product release management. 
  • Needs to be proficient in analysis, debugging, and tracing. should be knowledgeable about the DRY and KISS clean code principles. It is good to be exposed to secure coding. 


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