Data Engineer

📌 Job Description: Data Engineer (GCP & BigQuery) We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP), particularly BigQuery. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and can translate business needs into scalable technical solutions. Key Responsibilities • Design, develop, test, and maintain ETL pipelines and data solutions within GCP, focusing on BigQuery. • Write and optimize complex SQL queries for data extraction, transformation, and analysis. • Discover and integrate raw data from diverse sources into consistent, scalable architectures. • Manage cloud data ingress and egress using tools such as gcloud, gsutil, and bq command-line utilities. • Collaborate with business stakeholders to understand analytical needs and translate them into technical requirements. • Ensure data quality, integrity, and performance across all data processes. • Work closely with cross-functional teams to support data-driven decision-making. • Utilize LookML to build and maintain views, explores, dashboards, and persistent derived tables. ✅ Required Skills & Experience • Proven experience with Google Cloud Platform, especially BigQuery. • Strong proficiency in SQL and data modeling. • Hands-on experience with ETL development and cloud data architecture. • Familiarity with GCP command-line tools (gcloud, gsutil, bq). • Excellent analytical and problem-solving skills. • Strong communication and collaboration abilities. • Experience with Looker and LookML development. • (Preferred) Experience with Hadoop, Spark/Hive, and UC4. ✨ Nice to Have • Experience with Hadoop, Spark/Hive, and UC4 scheduling tools. • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. • Experience working in agile environments and with cross-functional teams. Compensation: $55-$60/hour