GCP Data Engineer

GCP Data Engineer We are seeking a skilled and detail-oriented GCP Data Engineer to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP) and modern data engineering practices, along with exposure to Snowflake as a preferred skill. Key Responsibilities: • Design, build, and maintain scalable ETL/ELT data pipelines on GCP. • Develop and optimize data workflows using GCP services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Composer. • Integrate data from multiple structured and unstructured data sources. • Implement data quality, validation, governance, and security best practices. • Collaborate with cross-functional teams including analytics, application development, and business stakeholders. • Monitor pipeline performance and troubleshoot production issues efficiently. • Support cloud migration and modernization initiatives. Required Skills:. • 5+ years of experience in Data Engineering or Cloud Data Platforms • Strong hands-on experience with Google Cloud Platform (GCP) – mandatory. • Experience with BigQuery, Dataflow, Pub/Sub, Cloud Functions, and related GCP services. • Proficiency in SQL and Python or Java. • Strong understanding of data warehousing, data modeling, and ETL concepts. • Experience with orchestration and scheduling tools such as Airflow/Composer. • Familiarity with CI/CD and version control practices. • Bachelor’s degree in Computer Science, Information Technology, or related field Preferred Skills: • Experience with Snowflake. • Knowledge of Kafka or other streaming technologies. • Exposure to Terraform or Infrastructure as Code (IaC). • Understanding of Agile development methodologies.