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Big Data Engineer with Google cloud (GCP) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Big Data Engineer with Google Cloud (GCP). in the . United States. .. As a Big Data Engineer, you will play a pivotal role in architecting and implementing scalable data solutions on Google Cloud Platform. You will lead the migration of on-premises data systems to the cloud, build enterprise-level data pipelines, and optimize big data workloads for performance and cost-efficiency. This role offers the opportunity to work with cutting-edge cloud technologies such as BigQuery, Cloud Dataflow, Cloud Composer, and Kubernetes Engine, while influencing enterprise-wide data strategies. You will collaborate with cross-functional teams, providing technical guidance and ensuring robust, secure, and high-performing data infrastructure. The position combines technical depth with leadership, allowing you to shape cloud transformation initiatives and deliver impactful solutions at scale.. . Accountabilities. Architect, design, and implement data pipelines and enterprise infrastructure on . Google Cloud Platform (GCP). .. Lead cloud transformation and migration projects, including strategy, design, and implementation of private and public cloud solutions.. Utilize GCP services such as . BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Pub/Sub, Cloud Composer, and Cloud Storage. to build scalable data platforms.. Design and manage relational and NoSQL databases including Cloud Spanner, Cloud SQL, Cloud Bigtable, and Cloud Firestore.. Implement advanced analytics, AI, and machine learning pipelines to support business intelligence and data-driven decision-making.. Monitor and optimize cloud workloads for cost, performance, and security efficiency.. Provide technical guidance and subject matter expertise to cross-functional teams and senior management.. Ensure proper documentation, best practices, and continuous improvement in cloud architecture and governance.. . Bachelor’s degree in Computer Science, Engineering, or a related field.. Google Cloud Certified Professional Cloud Architect. certification required.. 8+ years of experience in data engineering, with 3-5+ years on . GCP. and deep hands-on experience designing and deploying cloud data solutions.. Expertise in . ETL and Big Data tools. such as BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Pub/Sub, Cloud Composer, and Google Data Studio.. Experience with . NoSQL databases. , search technologies (Lucene, Elasticsearch), and relational databases (Cloud Spanner, Cloud SQL).. Strong software development background, with knowledge of SDLC, DevOps, CI/CD, and Agile methodologies.. Proficiency in data visualization tools such as . Kibana, Grafana, Tableau. .. Excellent communication and leadership skills, with experience advising stakeholders and collaborating with cross-functional teams.. Desired: knowledge in GCP storage lifecycle management, BigQuery slots management, cost optimization, and Hadoop ecosystem tools (HDFS, Hive, Spark, Kafka, NiFi, Oozie, Splunk).. . Company Location: United States.