Job Title: GCP Data Engineer Position Type: Contract Location: Houston, TX (Onsite from Day 1) Job Summary Looking for a certified GCP Data Engineer with hands-on experience building data pipelines on Google Cloud. Must have SAP SLT replication experience, strong Python and Dataflow skills, and be proficient in CI/CD (GitHub + Terraform). The ideal candidate can bridge business needs with technical execution in a secure, regulated environment. Houston-based professionals preferred. Certification is mandatory. The role requires strong technical expertise in GCP services, data pipeline development, and hands-on experience with both batch and real-time processing. The ideal candidate will be adept at collaborating with stakeholders, translating business requirements into technical solutions, and ensuring the scalability and reliability of data systems. Key Responsibilities • Design, develop, test, and maintain data acquisition pipelines for large-scale structured and unstructured data. • Build and manage complex datasets to support business needs. • Develop scalable big data pipeline architectures in GCP. • Collaborate with stakeholders to identify opportunities for new data acquisition and integration. • Translate business needs into technical requirements and solutions. • Work with GCP ecosystem tools, including Python, DataFlow, DataStream, CDC, Cloud Functions, Cloud Run, Pub/Sub, BigQuery, and Cloud Storage. • Implement monitoring solutions using logs and alerts for pipeline performance. • Use SAP SLT to replicate SAP tables into GCP. • Develop JSON-based messaging structures for application integration. • Apply DevOps and CI/CD practices (GitHub, Terraform) for automation and scalability. • Optimize datasets with partitioning, clustering, IAM roles, and policy tags for security and performance. • Manage data access with roles, authorized views, and security policies. • Build data ingestion pipelines leveraging REST APIs. • Continuously recommend improvements in data quality, governance, and efficiency. Required Skills & Experience • 10+ years of professional experience as a data engineer. • Enterprise-scale data solutions • Strong expertise in the Google Cloud Platform (GCP) ecosystem. • Proficiency in Python for data engineering tasks. • Experience with batch and real-time data processing. • Hands-on experience with SAP SLT replication. • Strong understanding of DevOps and CI/CD practices (GitHub, Terraform). • GCP Professional Data Engineer Certification required.