- Develop, optimize, and maintain high-quality Python applications and scripts.

- Build integrations with cloud services (AWS/Azure/GCP) and implement cloud-based solutions.

- Work with relational and NoSQL databases for data modeling, ETL processes, and performance tuning.

- Develop and maintain pipelines in Databricks (PySpark/Notebook-based workflows).

- Implement workflow orchestration using Airflow or similar tools.

- Collaborate with cross-functional teams to understand requirements and deliver reliable solutions.

- Ensure code quality, scalability, and security through best practices and code reviews.

- Monitor, troubleshoot, and enhance existing pipelines and applications.

Required Skills :

- Strong proficiency in Python and its standard libraries.

- Experience with Cloud platforms (AWS/Azure/GCP).

- Solid understanding of Databases (SQL, NoSQL, query optimization).

- Hands-on experience with Databricks and PySpark.

- Experience with Airflow or other orchestration tools (Prefect, Luigi, etc.).

- Familiarity with CI/CD pipelines and version control tools (Git).

- Strong analytical, debugging, and problem-solving skills.