<p><p><b>Job Description : </b></p><br/><p>We are looking for an experienced GCP Big Data Engineer with strong expertise in building and managing large-scale data processing systems on Google Cloud Platform.
The ideal candidate should have hands-on experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and related GCP data services.</p><br/><p><b>Key Responsibilities : </b></p><br/><p>- Design, develop, and maintain scalable data pipelines and architectures on GCP.</p><br/><p>- Optimize and manage data ingestion, transformation, and storage solutions.</p><br/><p>- Collaborate with data scientists and analysts to ensure efficient data access.</p><br/><p>- Implement data governance, security, and performance optimization best practices.</p><br/><p>- Work with cross-functional teams to deliver end-to-end data solutions.</p><br/><p><b>Technical Skills : </b></p><br/><p>- Expertise in GCP Data Services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, etc.).</p><br/><p>- Proficiency in Python, SQL, and Spark.</p><br/><p>- Experience with ETL design, data modeling, and data warehousing.</p><br/><p>- Knowledge of CI/CD pipelines and version control systems (Git).</p><br/><p>- Understanding of data security, compliance, and access control.</p><br/></p> (ref:hirist.tech)