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 .