Data Engineer-Senior Software Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain cloud-native data pipelines and AI/ML-powered data products using Google Cloud Platform services.
Build, deploy, and operationalize AI/ML models leveraging Vertex AI, BigQuery ML, and related GCP AI services to support business decision-making.
Ensure data pipeline reliability and quality through code reviews, root cause analysis, and CI/CD automation within a DevOps environment.
Minimum Requirements
4–7 years of experience with at least 3 years specifically in Data Engineering or Cloud AI roles.
Graduate degree in Computer Science, Engineering, or equivalent.
Mandatory hands-on expertise with GCP data and AI services including BigQuery, Vertex AI, Cloud Dataflow/Dataproc, Cloud Composer, Cloud Storage, Pub/Sub, and Bigtable.
Proficiency in Python, SQL, PySpark, Linux shell scripting, and experience with version control and CI/CD tools (GitHub, Cloud Build, Jenkins).
Ideal Candidate Profile
Experienced in designing and operating scalable batch and streaming data pipelines in enterprise or large-scale environments using GCP.
Skilled in building production-grade AI/ML workflows integrating Vertex AI and BigQuery ML, with operational experience in MLOps.
Familiar with DevOps practices including automated deployments, monitoring, testing, and collaboration across global cross-functional teams.