Service Time: Typically 7+ years of progressive experience in data engineering, analytics engineering, or applied data science roles
Role Overview
We are seeking a Senior Data Science Engineer to design, build, and operate production‑grade analytics pipelines on Google Cloud Platform. This role spans the full lifecycle—from orchestration and transformation to analytics, ML, and infrastructure—using modern CI/CD and infrastructure‑as‑code practices.
Key Responsibilities
Build and operate Apache Airflow DAGs on Cloud Composer, including dependencies, scheduling, and testing.
Develop batch and streaming pipelines using Apache Beam on Cloud Dataflow.
Design, optimize, and maintain BigQuery datasets, SQL, partitions, clustering, and cost‑efficient query patterns.
Develop and operationalize BigQuery ML (BQML) models within analytics workflows.
Manage environment‑aware configuration using YAML across DEV, CERT, and PROD.
Provision and manage GCP infrastructure using Terraform (GCS, BigQuery, IAM, CMEK).
Own and extend GitHub Actions pipelines for build, test, and multi‑environment deployment.
Apply GitHub Copilot to accelerate development, testing, and code review.
Lead or support schema evolution and BigQuery DDL migration efforts.
