Job Description:

Key Responsibilities:

- Design and implement scalable data architectures on Google Cloud Platform

- Build and optimize high-performance data pipelines using BigQuery

- Develop robust ETL/ELT frameworks and reusable components

- Optimize BigQuery performance (partitioning, clustering, cost optimization)

- Lead data modeling (dimensional modeling, star/snowflake schemas)

- Ensure data governance, security, and compliance

- Integrate data from multiple sources (APIs, streaming, batch systems)

- Mentor junior engineers and guide best practices

- Work closely with stakeholders across analytics, BI, and AI teams

Required Skills:

- Strong hands-on experience with Google Cloud Platform (GCP ecosystem)

- Deep expertise in BigQuery (query optimization, architecture design)

- Advanced SQL and data modeling skills

- Strong experience in Python/Scala for data engineering

- Experience with orchestration tools like Apache Airflow

Hands-on experience with GCP services like:

1. Dataflow

2. Pub/Sub

3. Cloud Storage

4. Dataproc