• Minimum 6 years of total professional experience in data engineering, cloud data platforms, backend data processing, or related software engineering roles. 
• Strong experience designing, developing, and supporting production-grade data pipelines and ETL/ELT workflows. 
• Hands-on experience working in enterprise or production environments with cloud-based data engineering solutions. 
• Proven ability to debug, troubleshoot, and resolve application issues, pipeline failures, DAG issues, and production bugs. 
• Strong programming experience in Python for data engineering, backend processing, pipeline development, and automation. 
• Good understanding of Python programming concepts, including modular code development, Pydantic models, data validation, backend integrations, and API-based workflows. 
• Hands-on production experience with Kedro for pipeline development, modularization, and maintainable data engineering design. 
• Strong hands-on experience with Apache Airflow, including DAG creation, workflow orchestration, scheduling, monitoring, and troubleshooting. 
• Experience with Databricks and distributed data processing environments. 
• Hands-on experience developing and maintaining Azure Functions using Python. 
• Strong working knowledge of the Microsoft Azure ecosystem and cloud-based data engineering services. 
• Experience with Kafka and event-driven or data streaming architectures. 
• Strong SQL skills with hands-on experience in PostgreSQL, including query optimization, data validation, and database development. 
• Hands-on experience with Docker and containerized development or deployment workflows. 
• Experience using GitHub for collaborative development, pull requests, code reviews, and version control.

Kochi

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