What are the responsibilities and job description for the AWS Python Data Engineer position at Veridian Tech Solutions, Inc.?
Job Title:-AWS Python Data Engineer/AWS Redshift Data Engineer
Location:- Raleigh, NC, Richardson, TX, Tempe, AZ
Duration:-Full-Time
Interview Mode:- Face to Face
Job Description
⦁ 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 Experience
• Experience 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 Experience
• Experience 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)