Python Developer

CitiusTech is actively seeking a highly skilled and experienced Senior Python Developer with a strong background in data engineering, AWS, and modern AI-assisted development practices. As a crucial member of our team, you will be instrumental in designing, building, and maintaining robust and scalable data solutions that drive critical business insights. This is an exceptional opportunity for a talented Senior Python Developer to work with cutting-edge technologies like Snowflake, Apache Airflow, and Agentic AI to accelerate software delivery and innovation.

Key Responsibilities

• Design, develop, and optimize high-performance data pipelines and ETL/ELT processes using Python, AWS, and Apache Airflow.
• Implement and manage data warehousing solutions on Snowflake, ensuring data integrity, security, and scalability.
• Leverage Agentic AI tools and AI-assisted development workflows to enhance coding efficiency, automate tasks, and accelerate project delivery.
• Collaborate closely with data scientists, analysts, and other engineering teams to understand data requirements and translate them into effective technical solutions.
• Ensure the reliability, quality, and performance of data solutions through robust testing, monitoring, and optimization.
• Contribute to the continuous improvement of CI/CD pipelines and DevOps practices to streamline deployment processes.
• Participate in code reviews, mentor junior developers, and drive best practices in data engineering and software development.

Requirements

• 7-12 years of extensive hands-on experience as a Python Developer or Data Engineer, with a proven track record of building complex data solutions.
• Deep expertise in Python development, including advanced data structures, algorithms, and object-oriented programming for data applications.
• Proficiency in AWS services (e.g., S3, EC2, Lambda, Glue) and experience utilizing the AWS SDK (Boto3) for programmatic interaction.
• Strong command over Snowflake data warehousing and Apache Airflow for workflow orchestration (experience with Managed Airflow is a plus).
• Solid understanding of Big Data engineering principles, data modeling, and ETL/ELT methodologies.
• Familiarity with version control systems like Git and project management tools such as Jira.
• Experience with CI/CD practices and foundational understanding of DevOps principles.
• Exposure to Agentic IDEs, AI-assisted development, or other innovative coding approaches is highly desirable.
• Excellent problem-solving skills, with the ability to troubleshoot complex data issues and optimize performance.

What We Offer

• An opportunity to work with a leading global technology and consulting company at the forefront of healthcare innovation.
• Exposure to advanced technologies, including cutting-edge AI and cloud-native data platforms.
• A collaborative and dynamic work environment that fosters continuous learning and professional growth.
• Competitive compensation and a comprehensive benefits package designed to support your well-being.
• The chance to make a significant impact on critical data solutions and contribute to meaningful projects across diverse industries.