GCP Data Engineering Expert

Job Title: GCP Data Engineering Expert Location- Tampa/Dallas Exp- 8+ Yrs. Job Summary: We are seeking a skilled GCP Data Engineering Expert to design, build, and optimize scalable data pipelines and data platforms on Google Cloud Platform. The ideal candidate will have strong experience in big data processing, cloud-native architecture, and data warehousing solutions. Key Responsibilities: · Design and implement scalable ETL/ELT pipelines using Google Cloud Dataflow, Google Cloud Dataproc, or Google Cloud Composer · Develop and optimize data models in BigQuery · Build batch and real-time data processing workflows using Pub/Sub · Implement data lakes using Google Cloud Storage · Ensure data quality, governance, and security best practices · Collaborate with analytics, ML, and application teams to deliver data solutions · Monitor and optimize performance and cost of GCP data pipelines Required Skills: · Strong hands-on experience with GCP data services · Proficiency in Python, SQL, and Spark · Experience with CI/CD, data pipeline automation, and workflow orchestration · Knowledge of data modeling, warehousing, and big data concepts · Understanding of IAM, security, and monitoring in GCP Preferred Qualifications: · GCP Data Engineer Certification · Experience with real-time streaming and ML data pipelines Job Type: Contract Application Question(s): - Are you okay with the job location? - Please mention your LinkedIn URL? - What is your visa type? Experience: - Overall IT: 9 years (Required) - GCP: 5 years (Required) - Python: 5 years (Required) - Workflows using Pub/Sub: 3 years (Required) Work Location: In person