Senior Python Developer
4 weeks ago
Job Title: Senior Python Developer with Airflow Experience
Location: Bangalore (Work from office)
Job Description:
We are seeking a highly skilled and experienced Senior Python Developer with expertise in Airflow to join our team. As a Senior Python Developer, you will be responsible for designing, developing, testing, and maintaining scalable and reliable data pipelines using Airflow. You will collaborate with cross-functional teams to implement data solutions that drive business insights and improve data Design, develop, and maintain data pipelines using Python and Apache Airflow.
- Collaborate with data engineers, data scientists, and other stakeholders to understand data requirements and translate them into technical solutions.
- Optimize and tune data pipelines for performance, reliability, and scalability.
- Implement monitoring, logging, and alerting for data pipelines to ensure data integrity and availability.
- Conduct code reviews, perform unit testing, and ensure code quality and best practices.
- Document technical designs, procedures, and guidelines for data pipeline development and maintenance.
- Stay updated with the latest technologies and industry trends related to data engineering and data Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of experience as a Python developer, with strong proficiency in Python programming and software development.
- Experience designing and implementing data pipelines using Apache Airflow orchestration tools.
- Solid understanding of distributed computing, data processing frameworks, and cloud platforms (e.g., AWS, Azure, GCP).
- Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, MongoDB).
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
- Excellent communication skills and ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift).
- Familiarity with machine learning frameworks and data science workflows.
- Certifications related to Python development, data engineering, or cloud platforms.
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