AWS Python Data Engineer

Job Description: In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
• Your contribution to the team:
• A collaborative spirit and excellent communication skills.
• The ability to handle end to end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands-on coding experience
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross-functional teams and do software integration.
• Required Skill and ExperienceExperience with AWS (EC2, ECS, ECR, EFS, EMR, Lambda, Step functions, RDS, Glue, S3, API Gateway), SQS/SNS, REST APIs & Microservices.
• Experience in Python libraries and scripting
• Experience with CI/CD (GitLab, Git), Docker & Kubernetes, Terraform (IaC), SDLC.Familiarities with Cloud-native architecture patterns, Production monitoring & reliability improvements
• Experience with System Design & Scalability.
• Preferred Skill and ExperienceExperience with Pyspark
• Experience with Fast API/Flask frameworks, Large-scale data processing (JSON/XML/Parquet) is preferred
• Experience with Distributed Systems, SQL & NoSQL (PostgreSQL, DynamoDB)
• Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.