Senior Data Engineer; GCP

Position: Senior Data Engineer (GCP)
We are looking for a  GCP Data Engineer  to design, build, and maintain scalable data platforms on Google Cloud. The ideal candidate will have strong experience in automated data ingestion, analytics engineering, and MLOps, with the ability to support marketing analytics use cases and BI-driven decision making.
You will work closely with Data Science, Analytics, and Business teams to enable data-driven insights through robust pipelines, models, and reporting solutions.
You will:
Design, develop, and maintain automated data ingestion pipelines on Google Cloud Platform (GCP)
Build and optimize scalable data processing workflows using Spark / Py Spark
Support data science team, including data preparation, feature engineering, and experimentation support
Develop, deploy, and maintain BI reporting and simulation tools using Looker
Implement and manage MLOps pipelines for model training, deployment, monitoring, and retraining
Write efficient, well-documented code in Python and SQL
Ensure data quality, reliability, performance, and governance across data pipelines
Collaborate with cross-functional teams including Data Scientists, Analysts, and Product stakeholders
Qualifications
Strong hands-on experience with Google Cloud Platform (GCP)
Experience supporting marketing analytics or attribution modeling use cases
Familiarity with GCP services such as Big Query, Dataflow, Dataproc, Cloud Composer, and Vertex AI
Knowledge of CI/CD, version control, and cloud-native best practices
Experience building automated data ingestion pipelines
Proficiency in Python, Spark, PySpark, and SQL
Experience developing and deploying Looker dashboards and BI solutions
Solid understanding of data engineering concepts: ETL/ELT, data modeling, and pipeline orchestration
Exposure to MLOps pipelines and lifecycle management of machine learning models
Ability to work with large-scale datasets and distributed systems