Python Developer - ETL / Pandas

We are seeking a highly skilled Python Developer with hands-on experience in data automation, cloud integration, and CI / CD environments.

The ideal candidate will be responsible for designing and developing efficient, scalable, and automated data workflows using Python and Google Cloud technologies.

This role requires strong analytical skills, deep understanding of data manipulation processes, and experience with Airflow, BigQuery, and automation scheduling frameworks.

The candidate will work closely with cross-functional teams including Data Engineering, DevOps, and Analytics to deliver robust, high-performance data solutions supporting enterprise-scale applications.

Key Responsibilities :

1. Application & Workflow Development Design, develop, and maintain Python-based applications, scripts, and data pipelines for automation and process optimization.

• Implement and manage complex scheduling workflows using Apache Airflow or equivalent orchestration tools. Develop scalable solutions for data ingestion, transformation, and processing across multiple data sources.
• Integrate and manage applications deployed in Google Cloud Platform (GCP) environments, leveraging BigQuery, Cloud Storage, and related services.
• Collaborate with DevOps teams to automate deployment and monitoring of applications using GitHub CI / CD pipelines.

2. Data Automation & Optimization Design and automate ETL / ELT processes to streamline data movement and ensure data accuracy and consistency.

3. Cloud Integration & Deployment Build and deploy applications on Google Cloud Platform (GCP), ensuring scalability, security, and reliability.

(ref : hirist.tech)