GCP Data Engineer

Job Description

Role: GCP Data Engineer Experience: 5-15 Years Core Skills:- Data Engineering, ETL, GCP, Python, Streaming, Data ingestion, SQL What We’re Looking For: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related technical field. Minimum 6+ years of hands-on experience in data engineering with strong expertise in data warehousing, pipeline development, and analytics on cloud platforms. Expert-level experience in: Google BigQuery for large-scale data warehousing and analytics. Python for data processing, orchestration, and scripting. SQL for data wrangling, transformation, and query optimization. DBT for developing modular and maintainable data transformation layers. Airflow / Cloud Composer for workflow orchestration and scheduling. Proven experience building enterprise-grade ETL/ELT pipelines and scalable data architectures. Strong understanding of data quality frameworks, validation techniques, and governance processes. Proficiency in Agile methodologies (Scrum/Kanban) and managing IT backlogs in a collaborative, iterative environment. Preferred experience with: Tools like Ascend.io , Databricks , Fivetran , or Dataflow . Data cataloging/governance tools (e.g., Collibra ). CI/CD tools, Git workflows, and infrastructure automation. Real-time/event-driven data processing using Pub/Sub , Kafka , or similar platforms