GCP Data Engineer

Title: Data Engineer Location: Brooklyn Park, MN (Minneapolis area) Work Mode: Hybrid – 2 Days Onsite Exp: 10+years Must-Have Skills: Apache Hadoop, Hive, and Spark Big Data & Data Engineering ETL/ELT Pipelines Google Cloud Platform (GCP) BigQuery, Dataproc, and Google Cloud Storage (GCS) Looker / Power BI DevOps, CI/CD, and Automation Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

Build and optimize distributed data processing solutions using Apache Spark and GCP Dataproc. Develop and optimize analytical datasets using BigQuery. Implement batch and streaming data processing solutions.

Monitor data quality, troubleshoot production issues, and optimize performance. Apply software engineering best practices, automated testing, and CI/CD. Collaborate with cross-functional teams to deliver reliable data solutions.