Job
Description
1 Month to ASAP joinees required As a Developer, you will play a crucial role in designing robust architectures and ensuring the successful implementation of our software products. You will work with a team of developers and data engineers to leverage your expertise in Python, data engineering technologies, and cloud platforms to drive the development process. Additionally, you will work closely with a Technical Architect to understand and implement the solution architecture and debug issues in production. Responsibilities: Design and implement scalable, efficient, and maintainable software solutions. Deliver high-quality, well-documented, and maintainable code. Implement and manage thorough testing processes, including automated testing. Develop processes and practices to debug issues that arise in production environments. Implement best practices for coding standards, testing, and deployment. Develop and maintain data scraping/integration solutions to collect and process large volumes of data. Collaborate with product managers, machine learning engineers, and other stakeholders to understand requirements and deliver high-quality products. Work closely with the Technical Architect to understand the solution architecture and implement it effectively. Stay updated with the latest industry trends and technologies Required Skills and Experience: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum 4 years experience in software development. Knowledge of data privacy and security best practices. Familiarity with agile development methodologies. Have a good knowledge of architecture, design patterns, and advanced software development techniques Technical Skills: Python: Advanced proficiency in Python programming and experience with its libraries and frameworks such as Pandas, NumPy, Flask, Django, FastAPI etc. Data Scraping: Experience with data engineering tools and frameworks such as BeautifulSoup, Scrapy, Selenium, Playwright etc. Experience with data pipeline tools such as Airflow, kafka, Spark would be a plus AWS: Compute Services: Experience with AWS compute services such as EC2, Lambda, EKS and ECS. Storage Services: Experience with AWS storage services like S3 and EBS. Databases: Knowledge of AWS database services including RDS (e.g., PostgreSQL, MySQL) and MongoDB. Networking: Understanding of AWS networking services like VPC, Route 53, and CloudFront. Security: Experience with AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and other security services. Deployment and Management: Experience with CI/CD pipelines and tools like Jenkins, GitLab CI and Terraform/Terragrunt, Flux CD Monitoring and Logging: Familiarity with AWS CloudWatch and AWS CloudTrail, DataDog, PagerDuty Containerization: Experience with Docker and container orchestration tools like Kubernetes. Ability to create and manage Docker containers for deploying applications. Database Management: Experience working with SQL and database management systems such as PostgreSQL, MySQL, NoSQL databases like Mongodb, ElasticDB. Experience with graph databases would be an advantage API Development: Experience in designing and consuming RESTful APIs. Familiarity with API management and documentation tools such as Swagger or Postman. Worked with FastAPI and/or FlaskAPI. Experience with Async.io would be a plus Version Control: Proficiency with version control systems like Git, including branching, merging, and pull requests. Testing Automation: Experience in setting up and using automated testing tools and frameworks, such as Selenium, PyTest, or JUnit. Documentation: Ability to create and maintain detailed sequence diagrams and contribute to architectural documentation. Debugging: Worked on debugging issues that arise in production environments. Soft Skills: Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Collaboration: Ability to work collaboratively with cross-functional teams. Adaptability: Ability to adapt to new technologies and methodologies quickly.
