Data Engineer

2 weeks ago

bangalore, India Bahwan CyberTek Full time

Job Title: Data Engineer – Google Cloud Platform (GCP) Job Summary We are seeking a skilled and motivated Data Engineer with hands-on experience in building scalable data pipelines and cloud-native data solutions on Google Cloud Platform. The ideal candidate will be proficient in GCP services like Pub/Sub, Dataflow, Cloud Storage, and BigQuery, with a foundational understanding of AI/ML workflows using Vertex AI. Key Responsibilities Design, develop, and optimize robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage. Architect and manage scalable BigQuery data warehouses to support analytics, reporting, and business intelligence needs. Collaborate with data scientists and ML engineers to support AI/ML workflows using Vertex AI (AO Vertex), including model training and deployment. Ensure data quality, reliability, and performance across all pipeline components. Work closely with cross-functional teams to understand data requirements and deliver efficient solutions. Maintain documentation and contribute to best practices in cloud data engineering. Required Skills & Qualifications 3–6 years of experience in data engineering, with strong exposure to GCP. Proficiency in GCP services: Pub/Sub, Dataflow, Cloud Storage, and BigQuery. Solid understanding of data modeling, ETL/ELT processes, and performance optimization. Experience with Python, SQL, and cloud-native development practices. Familiarity with CI/CD pipelines and version control (e.g., Git). Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Secondary Skills (Interview-Ready Knowledge) Basic understanding of AI/ML workflows and tools within Vertex AI. Ability to discuss model lifecycle, deployment strategies, and integration with data pipelines. Awareness of MLOps principles and cloud-based ML orchestration.

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