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Sr Associate Data Analysis (Full Stack Developer- Python, React JS/Angular JS)

AT&T is a telecommunications pioneer that helps bring families, communities, and businesses together with products and services, including 5G and Fiber networks.
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI

Description For Sr Associate Data Analysis (Full Stack Developer- Python, React JS/Angular JS)

AT&T, a pioneering telecommunications company with nearly 150 years of history since Alexander Graham Bell's invention of the telephone, is seeking a Sr Associate Data Analysis (Full Stack Developer) to join their team in Bengaluru, India. This role combines full-stack development expertise with data analysis capabilities, requiring proficiency in both front-end and back-end technologies.

The position demands a skilled developer with 3-5 years of experience who can work with modern web technologies including Python, React JS/Angular JS, and various database systems. The role involves building scalable software systems, working with cloud services (Azure), and implementing best practices in software development.

The ideal candidate will be responsible for designing and implementing scalable solutions, working with RESTful APIs, and contributing to all phases of the software development lifecycle. They should be comfortable with both SQL and NoSQL databases, version control systems, and modern development practices including containerization and DevOps principles.

This is an excellent opportunity for a developer who wants to work with cutting-edge technologies while contributing to AT&T's mission of creating connections that change the world. The role offers exposure to AI/ML technologies and the chance to work with cross-functional teams in a collaborative environment.

The position requires working from the office three days per week during afternoon/evening hours (1 PM to 10 PM), making it suitable for someone who can adapt to a hybrid schedule. The company offers a fair chance employment policy and maintains a strong commitment to equal employment opportunity, making it an inclusive workplace for all professionals.

The role combines technical expertise with business acumen, requiring the ability to translate business requirements into technical solutions while maintaining high standards of code quality and documentation. This position is ideal for someone who wants to grow their career in a company that values innovation and has a rich history of technological advancement.

Last updated 5 days ago

Responsibilities For Sr Associate Data Analysis (Full Stack Developer- Python, React JS/Angular JS)

  • Design, implement, and trouble-shoot scalable and reusable software systems
  • Ensure the security, scalability, and maintainability of Software Product
  • Perform assessments and evaluations of existing implementations
  • Design specifications and effort estimates
  • Support configuration management of code and software
  • Support detailed documentation of systems and features
  • Participate in coding exercises and peer code reviews
  • Participate in daily stand-up meetings
  • Develop and implement microservices
  • Conduct both manual and automated testing
  • Participate in Agile/SAFe methodologies
  • Convert business requirements into technical solutions
  • Work from office 3 days (in a week) from 1 pm to 10 pm

Requirements For Sr Associate Data Analysis (Full Stack Developer- Python, React JS/Angular JS)

Python
React
JavaScript
MongoDB
PostgreSQL
TypeScript
  • 3-5 years of experience
  • Proficiency in Python for developing scripts, automation, and integration tasks
  • Strong experience in React JS / Angular JS, JavaScript, HTML, CSS
  • Strong experience in developing, consuming, and integrating RESTful APIs
  • SQL/NOSQL hands on experience
  • Proficiency with Git and GitHub
  • Familiarity with Jira
  • Knowledge of cloud services (Azure)
  • Experience in working with logs, debugging, and troubleshooting
  • Strong problem-solving skills and ability to work independently

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