
Data Engineering Specialist
16 hours ago
Job Description:
We are seeking a highly skilled and innovative Software Engineer to join our team as a Data Engineering Specialist. In this role, you will be responsible for designing and developing new features and enhancements for our core platforms and services.
The ideal candidate will have strong hands-on experience with Python and its standard libraries, as well as expertise in implementing message queues and task distribution using RabbitMQ. Experience with containerizing applications and managing services using Docker & Docker Compose is also highly desirable.
You will work on a mix of new feature development, system enhancements, and platform modernization initiatives while ensuring the stability and reliability of our core products. You will have the opportunity to experiment with and implement GenAI-driven approaches, innovations, and new strategies as we continue to evolve our solutions.
As a Data Engineering Specialist, you will contribute to the modernization and refactoring of existing systems and code bases. You will propose, experiment with, and implement GenAI-based innovations, tools, or workflows to solve business problems and create new value.
Key Responsibilities:
- Design and develop new features and enhancements for our core platforms and services.
- Contribute to the modernization and refactoring of existing systems and code bases.
- Propose, experiment with, and implement GenAI-based innovations, tools, or workflows to solve business problems and create new value.
- Drive technical improvements, suggest and lead platform upgrades, and champion engineering best practices.
- Investigate, debug, and resolve production issues, to deliver robust solutions that improve performance and maintainability.
- Collaborate with product, engineering, and business teams to deliver impactful end-to-end solutions.
Technical Skills & Requirements:
- Python: Strong hands-on experience with core Python and its standard libraries.
- RabbitMQ: Proficiency in implementing message queues and task distribution.
- Docker & Docker Compose: Experience containerizing applications and managing services.
- Web Scraping: Demonstrated expertise with webscraping tools and techniques.
- Playwright & Selenium: Practical experience with browser automation frameworks.
- PostgreSQL & SQLAlchemy: Proficient in SQL and ORM-based data access.
- MongoDB & PyMongo: Experience with NoSQL data using PyMongo.
- Redis: Practical use for caching and lightweight messaging.
- AWS: Hands-on experience with services such as S3, Secrets Manager, and Auto Scaling Groups (using boto3).
- Linux/Unix: Comfort with command-line operations and scripting.
- Git: Proficient in version control and team collaboration.
- Concurrency: Experience with multithreading and asynchronous programming in Python.
- API Integrations: Familiarity with integrating third-party APIs, including authentication, data handling, and rate limiting.
Other Infrastructure Requirements:
To excel in this role, you will require:
High-speed internet connectivity for video calls and efficient work.
Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM).
Headphones with clear audio quality.
Stable power connection and backups in case of internet/power failure.
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