Senior Python Developer
4 weeks ago
We are seeking a highly skilled and experienced Senior Python Developer with expertise in Apache Airflow to join our team. The ideal candidate will have a strong background in Python development, with at least 5 years of experience, along with demonstrated proficiency in designing, implementing, and maintaining data pipelines using Airflow.
Job Title/Role : Senior Python Developer with Airflow Experience
Experience : 5+ Years
Location : Bangalore (Work from Office)
Key Responsibilities :
1. Design, develop, and deploy scalable and efficient data pipelines using Python and Apache Airflow.
2. Collaborate with cross-functional teams to gather requirements, define project scope, and implement solutions that meet business needs.
3. Optimize and troubleshoot existing data pipelines to ensure reliability, performance, and data quality.
4. Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and design appropriate solutions.
5. Implement best practices for code quality, testing, version control, and documentation.
6. Stay up-to-date with industry trends and emerging technologies in data engineering and contribute to continuous improvement initiatives.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Minimum of 5 years of professional experience in Python development.
- Proven experience with Apache Airflow, including DAG (Directed Acyclic Graph) design, scheduling, and monitoring.
- Solid understanding of database concepts and experience with SQL and NoSQL databases.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Preferred Qualifications :
- Experience with other data processing technologies such as Spark, Kafka, or Hadoop.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Knowledge of DevOps practices and CI/CD pipelines.
- Experience working in Agile development methodologies.
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