Python Backend Developer

Key Responsibilities:

• Design, develop, and maintain ETL pipelines and data workflows using Python and PySpark.
• Build and manage RESTful APIs for data access and integrations.
• Work closely with data scientists and analysts to deliver clean, reliable, and well-structured data.
• Optimize SQL queries, stored procedures, and performance for Oracle DB and MySQL.
• Implement and automate CI/CD pipelines for efficient deployment.
• Write unit and integration tests using PyTest.
• Parse and process XML files, handle file operations efficiently using Python.
• Ensure data quality through validation, cleansing, and monitoring pipelines in real-time.
• Follow Agile methodologies for iterative development and delivery.
• Apply Object-Oriented and Functional Programming principles in service design and architecture.

Required Skills:

• Strong experience in Python (Backend only) with a focus on data structures, OOPs, and algorithms.
• Hands-on experience with PySpark for large-scale data processing.
• Solid knowledge of Django or Flask web frameworks.
• Expertise in SQL with a deep understanding of query tuning and stored procedures.
• Proficiency in file handling, XML parsing, and data validation using Python.
• Familiarity with REST API design and integration.
• Good knowledge of CI/CD tools like Git and Jenkins.
• Exposure to cloud platforms like GCP (preferred), AWS, or Azure.
• Excellent communication and interpersonal skills.
• Strong attention to detail and a problem-solving mindset.

Good to Have Skills:

• Certification in cloud (e.g., GCP, AWS) or Python-related technologies.
• Experience in working with financial domain applications or data-heavy systems.