Data Engineer-Senior Software Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain Google Cloud Platform (GCP)-based data pipelines integrating multiple business applications and data sources.
Build and deploy AI/ML models and data products using GCP AI services such as Vertex AI, BigQuery ML, and Generative AI APIs.
Work within a DevOps environment implementing CI/CD pipelines, automate deployments, ensure data quality and pipeline reliability, and support business analytics needs.
Minimum Requirements
4–7 years overall experience with at least 3+ years in Data Engineering or Cloud AI roles.
Mandatory hands-on expertise with GCP data and AI services: BigQuery, Vertex AI, Cloud Dataflow/Dataproc, Cloud Composer (Apache Airflow), Cloud Storage, Pub/Sub, and Bigtable.
Proficiency in Python, SQL, and PySpark for data engineering and AI/ML workflows.
Graduate degree in Computer Science, Engineering, or equivalent.
Ideal Candidate Profile
Experienced in building production-grade cloud-native data engineering solutions and operationalizing AI/ML models on GCP at scale.
Comfortable working in a DevOps set-up with CI/CD, version control, automation, and monitoring for data pipelines and AI applications.
Skilled in collaborating with cross-functional, global teams to deliver data products that have real business impact in retail or similar domains.