<p><p>Were looking for a cloud-savvy Data Engineer to architect and optimize data pipelines on Google Cloud Platform.
If you thrive in Python and live for scalable solutions, this ones for you.</p><br/><p><b>Must-Have Skills :</b></p><br/><p>- Python for data wrangling and automation<br/><br/></p><p>- BigQuery for high-performance analytics<br/><br/></p><p>- Apache Airflow for orchestration<br/><br/></p><p>- CloudSQL for relational data management<br/><br/></p><p>- Dataflow for stream & batch processing<br/><br/></p><p>- Google Cloud SDK for CLI-based operations<br/><br/></p><p>- GCS Buckets for scalable storage<br/><br/></p><p>- Terraform for infrastructure as code</p><br/><p><b>What Youll Do : </b></p><br/><p>- Design and deploy robust ETL pipelines using GCP-native tools<br/><br/></p><p>- Automate workflows with Airflow and Dataflow<br/><br/></p><p>- Optimize BigQuery queries and manage datasets<br/><br/></p><p>- Use Terraform to provision and manage cloud infrastructure<br/><br/></p><p>- Collaborate with cross-functional teams to deliver data-driven solutions</p><br/><p><b>Why Join Us?</b></p><br/><p>- Cutting-edge cloud projects<br/><br/></p><p>- Collaborative and agile environment<br/><br/></p><p>- Opportunities to innovate and grow</p><br/></p> (ref:hirist.tech)