Python Developer

Sprinterra invites you to be a part of our friendly and intelligent team. We develop various and diverse projects and have expertise in many technologies. We create environment for growth and development of your skills and knowledge area.

Job Description:

This temporary allocation (3 months) is focused on the development of a data warehouse MVP solution that will enable secure, scalable, and efficient processing of healthcare data for analytical and reporting purposes.
You will be responsible for implementing data ingestion and transformation components, including AWS Lambda functions and supporting scripts, and for integrating a platform based on Python technologies with the Data Warehouse to ensure seamless data collection, validation, and synchronization.

The role involves close collaboration with Data Engineers and Architects to ensure data reliability, integrity, and compliance with healthcare standards.

Key Responsibilities

• Develop and maintain Python scripts and AWS Lambda functions for real-time and batch data ingestion.
• Implement data validation, transformation, and error-handling logic in alignment with the defined DWH architecture.
• Integrate with AWS Kinesis for data streaming and ensure idempotent, reliable data delivery.
• Collaborate with Data Engineers and the Solution Architect to implement scalable and maintainable data pipelines.
• Participate in code reviews, testing, and deployment automation processes.
  Contribute to performance optimization and monitoring of data ingestion workflows.

Requirements:

• 2-4 years experience in Python development
• Understanding of databases (SQL, NoSQL) and data modeling.
• Experience with version control (Git or Bitbucket) and CI/CD pipelines.
• Proficiency in Python (3.x) and experience with AWS services (Lambda, Kinesis, RDS, S3, CloudWatch).
  Familiarity with containerization (Docker).
• Experience with Django
• Solid understanding of data processing workflows, JSON handling, and database interaction (PostgreSQL preferred)
• Good understanding of OOP
• Experience working with RESTful APIs and microservices architecture.
• Experience developing ETL/ELT pipelines and solutions with event-driven architectures.
• Strong analytical mindset and commitment to code quality, reliability, and maintainability.
• Familiarity with healthcare data standards or HIPAA compliance principles is a plus.