Description

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.

• Build and optimize Data Warehouses and data lakes using various GCP services (BigQuery, Cloud Storage, Dataflow, Dataproc, etc.).

• Leverage GCP native tools for orchestration, transformation, and data quality (Cloud Composer, dbt, Dataform, etc.).

• Integrate and productionize AI/ML models using Vertex AI and other GCP AI services.

• Ensure high performance, reliability, cost-efficiency, security, and governance of data platforms.

• Collaborate with data scientists, analysts, and cross-functional teams to deliver end-to-end data and AI solutions.

• Monitor, troubleshoot, and optimize data pipelines and warehouse performance.

Requirements:

• 7+ years of hands-on software engineering experience with a strong focus on data engineering.

• Extensive experience working on Google Cloud Platform (GCP) and building solutions using its data services.

• Strong practical knowledge of GCP data services including:

• BigQuery (for data warehousing and analytics)

• Cloud Dataflow, Dataproc, or Data Fusion for ETL/processing

• Cloud Composer (Airflow) for orchestration

• Cloud Storage, Pub/Sub, Looker, etc.

• Solid understanding of Data Warehousing concepts, architecture, modeling (star/snowflake schema), and best practices.

• Proven experience working with Artificial Intelligence / Machine Learning, including model deployment and integration on GCP (Vertex AI is highly preferred).

• Proficiency in Python (and SQL) for data engineering and backend development.

• Strong experience in building production-grade, scalable, and cost-optimized data solutions.

Preferred Qualifications

• Google Cloud Professional Data Engineer or Machine Learning Engineer certification.

• Experience with dbt, Dataform, or similar transformation tools on BigQuery.

• Knowledge of MLOps practices, model monitoring, and RAG/LLM applications.

• Familiarity with containerization (Docker) and orchestration (Kubernetes/GKE).

• Experience in real-time streaming pipelines using Pub/Sub and Dataflow

Key Skills

Education

Any Gradute