Senior GCP Data Engineer

As a Senior GCP Data Engineer, your role involves supporting a large-scale enterprise data platform modernization initiative. Your responsibilities include: - Designing and developing scalable ETL/ELT pipelines - Building and optimizing large-scale data ingestion and transformation workflows - Supporting enterprise data migration and modernization initiatives - Processing structured and semi-structured datasets for analytics and reporting - Developing real-time and near real-time data pipelines - Collaborating with architects and analytics teams to support cloud data platforms - Ensuring data quality, reliability, and performance Qualifications required for this role include: - 7+ years of Data Engineering experience - Strong GCP experience - Hands-on BigQuery experience - Airflow or Cloud Composer experience - Strong Python and SQL skills - Experience processing large-scale datasets - Experience supporting enterprise data migrations Nice-to-have qualifications include experience with Apache Spark, Kafka, dbt, and enterprise cloud modernization projects. As a Senior GCP Data Engineer, your role involves supporting a large-scale enterprise data platform modernization initiative. Your responsibilities include: - Designing and developing scalable ETL/ELT pipelines - Building and optimizing large-scale data ingestion and transformation workflows - Supporting enterprise data migration and modernization initiatives - Processing structured and semi-structured datasets for analytics and reporting - Developing real-time and near real-time data pipelines - Collaborating with architects and analytics teams to support cloud data platforms - Ensuring data quality, reliability, and performance Qualifications required for this role include: - 7+ years of Data Engineering experience - Strong GCP experience - Hands-on BigQuery experience - Airflow or Cloud Composer experience - Strong Python and SQL skills - Experience processing large-scale datasets - Experience supporting enterprise data migrations Nice-to-have qualifications include experience with Apache Spark, Kafka, dbt, and enterprise cloud modernization projects.