<p>We are seeking a highly skilled Python Developer with hands-on experience in data automation, cloud integration, and CI/CD environments.
</p><p><br/></p><p>The ideal candidate will be responsible for designing and developing efficient, scalable, and automated data workflows using Python and Google Cloud technologies.
</p><p><br/></p><p>This role requires strong analytical skills, deep understanding of data manipulation processes, and experience with Airflow, BigQuery, and automation scheduling frameworks.
</p><p><br/></p><p>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.
</p><p><br/></p><p>Key Responsibilities : </p><p><br/></p><p>1.
Application & Workflow Development Design, develop, and maintain Python-based applications, scripts, and data pipelines for automation and process optimization.
</p><p><br/></p><p>- 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.
</p><p><br/></p><p>- Integrate and manage applications deployed in Google Cloud Platform (GCP) environments, leveraging BigQuery, Cloud Storage, and related services.
</p><p><br/></p><p>- Collaborate with DevOps teams to automate deployment and monitoring of applications using GitHub CI/CD pipelines.
</p><p><br/></p><p>2.
Data Automation & Optimization Design and automate ETL/ELT processes to streamline data movement and ensure data accuracy and consistency.
</p><p><br/></p><p>- Optimize data manipulation tasks using Python libraries (e.g., Pandas, NumPy, PySpark, SQLAlchemy).
</p><p><br/></p><p>- Develop scripts to monitor and maintain data integrity, automate repetitive manual workflows, and manage large-scale datasets.
</p><p><br/></p><p>- Identify bottlenecks and implement performance tuning for data pipelines and scheduled .
</p><p><br/></p><p>3.
Cloud Integration & Deployment Build and deploy applications on Google Cloud Platform (GCP), ensuring scalability, security, and reliability.</p> (ref:hirist.tech)