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Data Engineer
Bahwan CyberTekKakinada, IN29 days ago
Job description3–6 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. 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.
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
Secondary Skills (Interview-Ready Knowledge)
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Data Engineer • Kakinada, IN
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