Candidate Skill:
Google Cloud Platform (GCP), BigQuery, Data Modeling, ETL/ELT, Python, SQL, Data Warehousing, Cloud Dataflow, Airflow, Spark, APIs, CI/CD, Problem-solving & Analytical Skills
Job Description:
We are seeking an experienced Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The role involves working on large datasets, optimizing ETL/ELT workflows, and enabling analytics and business insights. Key Responsibilities: Design, develop, and maintain data pipelines using GCP services like BigQuery, Dataflow, and Cloud Storage Build and optimize ETL/ELT workflows for large-scale data processing Develop data models and implement data warehousing solutions Collaborate with analytics, engineering, and product teams to deliver high-quality data solutions Ensure data quality, integrity, and performance of pipelines Automate workflows using Airflow, Spark, and other orchestration tools Participate in code reviews, troubleshooting, and performance optimization Required Skills (1 line): Google Cloud Platform (GCP), BigQuery, Data Modeling, ETL/ELT, Python, SQL, Data Warehousing, Cloud Dataflow, Airflow, Spark, APIs, CI/CD, Problem-solving & Analytical Skills Qualifications & Experience: 9+ years of experience in data engineering with strong focus on GCP Proven track record of building scalable and reliable data solutions
