Python Developer

We are seeking a Python Developer to build and optimize scalable data pipelines, event-driven architectures, and high-performance cloud infrastructure. In this role, you will design robust ETL workflows, process massive datasets using PySpark and AWS Glue, and manage analytics data architectures inside Snowflake.

Required Skills:

• Candidates must have extensive experience in core Python programming, demonstrating proficiency with modern language features, type hinting, and object-oriented design.
• Strong hands-on expertise in asynchronous processing is essential, particularly using frameworks like Asyncio, Celery, or message-driven architectures to build non-blocking, high-concurrency systems.
• On the data engineering front, candidates must possess deep knowledge of big data processing using PySpark for large-scale data manipulation, performance tuning, and partition management.
• Hands-on experience with cloud-native ETL services—specifically AWS Glue, AWS Lambda, and S3—is required to construct end-to-end data workflows.
• Additionally, candidates must have proven expertise in data warehousing using Snowflake, including experience with query optimization, schema design, and automated data ingestion patterns.