Senior Python Developer

About the Role

Senior Python Developer

This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.

Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
  
• Build RESTful APIs and integrations with third-party systems and internal tools.
  
• Work with data workflows involving ingestion, transformation, and validation.
  
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
  
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
  
• Optimize code for performance, scalability, and maintainability.
  
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
  
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
  
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.
  

Required Skills & Qualifications

• 7+ years of experience in backend software development, primarily in Python.
  
• Strong understanding of OOP, modular design, and Python design patterns.
  
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
  
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
  
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
  
• Experience with Airflow for workflow orchestration.
  
• Knowledge of building scalable, distributed applications and microservices.
  
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
  
• Excellent problem-solving, debugging, and communication skills.
  

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
  
• Familiarity with data storage formats and tools like Parquet, Iceberg.
  
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
  
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
  
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
  
• Background in metadata-driven or event-driven architectures.