GCP Data Engineer

A GCP BigQuery professional designs, develops, and optimizes large-scale data warehouses, ELT ETL pipelines, and SQL scripts within Google Cloud. Responsibilities include managing data ingestion, PubSub Dataflow optimizing performance and cost, and implementing security governance. Key skills include SQL, Python, Apache Airflow, and Data modeling.

Key Responsibilities

• Data Architecture Modeling, Design, and optimize BigQuery data models, schemas, and storage for performance and cost efficiency
• Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer, Airflow, Dataflow, and Dataproc
• Query Optimization: Write complex SQL scripts and tune performance to minimize BigQuery slot usage
• Data Integration: Ingest, transform, and manage data from diverse sources into BigQuery
• Governance Security: Implement data security access controls and best practices

Required Skills Qualifications

• Core Technical Proficiency in GoogleSQL Python, and Google Cloud Platform GCP services, BigQuery, Cloud Storage, Dataflow
• Data Processing Experience with Apache Spark Beam or Hadoop
• Database Knowledge: Strong understanding of relational RDBMS and NoSQL databases