Overview
Skills
Job Details
System Soft Technologies is widely recognized for its professionalism, strong corporate morals, customer satisfaction, and effective business practices. We provide a full spectrum of business and IT services and solutions, including custom application development, enterprise solutions, systems integration, mobility solutions, and business information management. System Soft Technologies combines business domain knowledge with industry-specific practices and methodologies to offer unique solutions, and enable clients to compete with global standards. We find a client-centric approach and a passion for excellence is key in distinguishing ourselves from our competition and in accompanying you on your journey.
Qualifications and Responsibilities for AWS Python Data Engineer:
- Development of microservices based on Python, Pyspark, AWS EKS, AWS Postgres for a data-oriented modernization projectNew System: Python and PySpark, AWS Postgres DB, Behave/Cucumber for automation, and Pytest
- Perform System, functional and data analysis on the current system and create technical/functional requirement documents.
- Current System: Informatica, SAS, AutoSys, DB2
- Write automated tests using Behave/cucumber, based on the new micro-services-based architecture
- Promote top code quality and solve issues related to performance tuning and scalability.
- Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify
- Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings.
- Preferred strong skills and experience in reporting applications development and data analysis.
- Knowledge in Agile methodologies and technical documentation.