Summary: Seeking a Senior Python Developer with strong data engineering expertise to build dependable, scalable pipelines, own dynamic DAG workflows, APIs, testing, and CI/CD. Highlights: 1. Build dependable, scalable pipelines with Python and Apache Airflow 2. Own dynamic DAG workflows, APIs, testing, and CI/CD 3. Improve performance and code quality across Python and Java We are looking for a **Senior Python Developer** with strong data engineering expertise to build dependable, scalable pipelines with Python and Apache Airflow. You will own dynamic DAG workflows, APIs, testing, and CI/CD while improving performance and code quality across Python and Java. Apply now to help us deliver secure, compliant data solutions. **Responsibilities** * Develop and operate Apache Airflow workflows to improve data engineering processes * Design and deliver a Python SDK to support and optimize data engineering work * Build and maintain RESTful APIs to enable smooth integration * Create and run unit and integration tests for Python and Java applications * Refactor Python and Java scripts to align with coding standards and best practices * Optimize database interactions while protecting data integrity and performance * Maintain CI/CD pipelines for automated testing, builds, and deployments * Collaborate with the team to improve efficiency and promote knowledge\-sharing * Ensure applications comply with established security and compliance guidelines **Requirements** * Proven experience with 3\+ years of Python development focused on efficient, testable code * Hands\-on expertise in Apache Airflow, including dynamic DAG generation * Solid background in building, operating, and evolving data pipelines * Practical knowledge of unit and integration testing using tools like Pytest * Familiarity with Java as a strong advantage * Excellent written and verbal communication skills * Ability to work independently and deliver outcomes with minimal supervision * Ongoing commitment to learning new and emerging technology trends