Cloud Data Engineer
We are seeking a skilled Cloud Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and optimizing robust data ingestion pipelines using cloud-native services.
Main Responsibilities :
- Design and develop scalable data warehouses for analytics, reporting, and business intelligence.
- Collaborate with data scientists and machine learning engineers to support AI / ML workflows.
- Ensure data quality, reliability, and performance across all pipeline components.
- Work closely with cross-functional teams to understand data requirements and deliver efficient solutions.
Required Skills & Qualifications :
3–6 years of experience in cloud data engineering.Proficiency in cloud 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.