Software Engineer

Job Summary: We are seeking a skilled and motivated Software Engineer to join our team and contribute to the design, development, and deployment of scalable AWS-based solutions. The ideal candidate will have strong experience in Python programming, advanced proficiency in writing efficient SQL queries, and hands-on experience with data processing libraries. Key Responsibilities: Design and implement cloud-native applications using AWS services such as Lambda, EC2, S3, RDS, and DynamoDB. Develop robust backend systems and APIs using Python. Write optimized SQL queries for data extraction, transformation, and reporting. Utilize Python libraries for data processing, transformation, and analysis. Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions. Ensure code quality through unit testing, code reviews, and adherence to best practices. Monitor and troubleshoot production systems to ensure reliability and performance. Document technical designs, processes, and implementation details. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field. 3+ years of experience in software development with a focus on AWS-based implementations. Proficiency in Python and familiarity with frameworks such as Flask or FastAPI. Strong SQL skills with experience in relational databases like PostgreSQL, MySQL, or Amazon RDS. Experience with version control systems (e.g., Git) and CI/CD pipelines. Solid understanding of software engineering principles and agile methodologies. Preferred Qualifications: AWS certifications (e.g., AWS Certified Developer, AWS Solutions Architect). Experience with infrastructure-as-code tools like Terraform or AWS CloudFormation. Familiarity with data warehousing and analytics platforms. Exposure to containerization technologies (e.g., Docker, Kubernetes). Preferred Python Packages for Data Processing: Pandas for data manipulation and analysis NumPy for numerical computations SQLAlchemy for database interaction and ORM PySpark for distributed data processing (if working with big data) Requests for API interactions Boto3 for AWS service integration Dask for parallel computing and large datasets BeautifulSoup / lxml for data extraction from HTML/XML Matplotlib / Seaborn for data visualization