- Design, develop, test, deploy and maintain large-scale data pipelines using Airflow.
- Collaborate with cross-functional teams to gather requirements and design solutions for complex data processing needs.
- Develop high-quality code in Python to build scalable and efficient data systems on PostgreSQL databases.
- Troubleshoot issues related to pipeline failures or errors in the system.
Job Requirements :
- 7-9 years of experience in Data Engineering with expertise in Airflow, PostgreSQL, Python, and Git.
- Solid understanding of building tools such as Airflow's DAGs (Directed Acyclic Graphs) and workflow management concepts.
- Experience working with big-data technologies like Spark or Hadoop is an added advantage.
📌 Data Engineer (Hyderabad)
🏢 Kanary Staffing
📍 Hyderabad
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