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Python Developer

Python.Core, AWS IAM, AWS Lambda, AWS Step Functions, Python, REST API, SQL, AWS CloudFormation, AWS CodeBuild, AWS CodePipeline, AWS Simple Storage Service, Amazon API Gateway, Amazon CloudWatch, Amazon DynamoDB, Amazon RDS

We seek a proactive, curious Python Developer desiring ongoing learning opportunities to become part of our Data Service team.

This individual will need to fully manage project scopes, pose insightful questions when necessary, and suggest innovative ideas or methodologies.

Responsibilities
  • Implement user stories aligning with client specifications within deadlines while adhering to best practices
  • Address bugs and ensure service maintenance, providing on-call support during working hours (rotating every 1-2 weeks)
  • Engage in planning, grooming, and refinement sessions and participate in code reviews
Requirements
  • Proficiency in Python core concepts (decorators, slicing, list comprehension)
  • Expertise in AWS services such as Lambda, Step Functions, and IAM (cross-account access)
  • Understanding of SQL basics (writing simple queries, aggregate operations, JOINs)
  • Solid knowledge of REST API and its standards
  • Flexibility to maintain performance in a changing environment
  • Capability to debug issues independently
Nice to have
  • Qualifications in AI/ML, including data preparation and labeling for ML models
  • Background in AWS services like API Gateway, RDS, DynamoDB, CloudFormation, S3, CodeBuilder/CodePipeline
  • Familiarity with CI/CD methodologies and IaC approaches
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn