Senior Data EngineerWe are seeking a seasoned Data Engineer to lead the design and implementation of our cloud-based data architectures on Google Cloud Platform (GCP).This is an exciting opportunity for a highly skilled professional to join our team and contribute to the development of cutting‑edge data solutions. The ideal candidate will have expertise in designing, developing, and deploying scalable, high-performance ETL / ELT pipelines using GCP services such as BigQuery, Dataflow, Dataproc, and Pub / Sub.ResponsibilitiesDesign and implement data architectures on GCP using services like BigQuery, Dataflow, Dataproc, Pub / Sub, and Cloud Storage.Develop and optimize scalable, high-performance ETL / ELT pipelines.Ensure data quality, integrity, and security end-to-end.Create and maintain data models aligned with business needs.Collaborate with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases.Automate ingestion, transformation, and data delivery processes.Monitor and optimize cost and performance of GCP resources.Implement best practices for DataOps and Data Governance.RequirementsProficiency in BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub / Sub.Experience with SQL, Oracle Database, and PostgreSQL.Knowledge of orchestration using Cloud Composer (Airflow).Hands‑on experience with CI/CD applied to data pipelines (Git, Terraform).Experience with cloud cost and performance optimization.GCP certifications.Knowledge of Kubernetes (GKE) and APIs on GCP.Experience with Machine Learning pipelines (Vertex AI, AI Platform).Previous involvement with Data Mesh and distributed architectures.Understanding of Data Lake layers.Knowledge of batch and streaming processing.Experience with data modeling (relational, dimensional, and NoSQL).BenefitsOpportunity to work on cutting‑edge data projects. Collaborative environment with experienced professionals. Continuous learning and development opportunities. Competitive compensation and benefits package.
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