
We're looking for a skilled and passionate Python Developer to join our Data Engineering Team. If you thrive in data-driven environments , you’ll feel right at home here. We're especially excited to meet geeky, sharp-minded developers who love diving into technical challenges and growing their craft.
Responsibilities:
Design, develop, and maintain robust FastAPI-based backend services
Design, develop, and maintain robust Async Pipelines (celery, airflow) for Deep Analytics
Build and scale ETL pipelines to process large volumes of structured and unstructured data
Optimize code and database queries for performance and scalability
Collaborate with data engineers, AI researchers, and analysts to define service behavior and data needs
Write clean, maintainable, and well-tested Python code
Participate in code reviews and technical discussions
Monitor and troubleshoot production issues across services
Requirements :
Foundational knowledge of Python programming fundamentals
Experience working with RESTful APIs (e.g., FastAPI, Flask, or Django)
Basic understanding of MPP technologies (polars, spark, …)
Basic understanding of Workflow orchestorator Apps (Airflow, temporal, …)
Basic understanding of relational or NoSQL databases
Ability to write clean and modular code
Knowledge of version control tools (e.g., Git)
Comfortable working with Linux-based environments and CLI tools
Preferred Qualifications:
Experience with any of our core technologies: Elasticsearch, Kafka, Spark
Basic experience handling large-scale datasets or data pipelines
Enthusiasm for learning new tools and improving development practices
Benefits:
Close-knit
Occasional packages and gifts
Flexible working hours
Insurance
Lunch/breakfast
Bonus
Remote work
Location : Zafar St
Work's Day : Saturday until Wednesday