Jobs → Data & Analytics → GCP Data Engineer

About the Role We are seeking a GCP Data Engineer with 12+ years of experience to join our team. This role involves designing, developing, and maintaining scalable ETL/ELT data pipelines using Google Cloud Platform services. Key Responsibilities • Design and implement RESTful APIs • Lead code reviews and mentor junior developers • Collaborate with product team on technical requirements • Design and develop scalable ETL/ELT data pipelines • Optimize BigQuery performance through partitioning, clustering, and query tuning • Implement data modeling, dimensional modeling, and data warehousing concepts • Utilize GCP services like Cloud Functions, Cloud Run, and Cloud Scheduler • Ensure data security and governance through IAM, service accounts, and encryption • Implement CI/CD pipelines and Infrastructure as Code (IaC) solutions Requirements • 12+ years of experience in IT, Data Engineering, Data Warehousing, Big Data, and Cloud Technologies • Strong expertise in Google Cloud Platform (GCP) and enterprise cloud data engineering solutions • Hands-on experience with BigQuery, Google Cloud Storage (GCS), Dataflow, Dataproc, and Pub/Sub • Strong experience designing, developing, and maintaining scalable ETL/ELT data pipelines • Expertise in SQL, Advanced SQL, Python, PySpark, and Shell Scripting • Hands-on experience with Apache Spark, Apache Beam, Hadoop, and distributed data processing frameworks • Strong knowledge of Google Cloud Composer (Apache Airflow) for workflow orchestration and scheduling • Experience building real-time and batch data processing pipelines using GCP services • Expertise in BigQuery optimization, partitioning, clustering, query performance tuning, and cost optimization • Strong experience with data modeling, dimensional modeling, Star Schema, Snowflake Schema, and Data Warehousing concepts • Hands-on experience with Cloud Functions, Cloud Run, Cloud Scheduler, and Cloud Logging • Strong knowledge of data integration, data migration, enterprise data lakes, and data warehouse architecture • Experience with GCP IAM, service accounts, encryption, security policies, and data governance • Hands-on experience with CI/CD pipelines, Git, Jenkins, Terraform, Cloud Build, and Infrastructure as Code (IaC) • Experience with GCP deployments, monitoring, logging, release management, and production support • Knowledge of Google Cloud Dataplex, Data Catalog, and data quality frameworks • Experience with modern data architectures, Lakehouse, Data Lakes, and Enterprise Data Platforms • Strong understanding of Agile methodologies, Scrum, code reviews, and enterprise development standards • Ability to lead technical teams, mentor data engineers, define technical architecture, and collaborate with business stakeholders • Excellent communication, leadership, analytical, and problem-solving skills