Data Engineer – GCP

About the Role 

You’ll design and build scalable data pipelines on GCP, working on data migration, ingestion, and transformation across large-scale systems. You’ll partner with data architects, analysts, and ML engineers to deliver reliable data infrastructure that powers business and AI workloads. 

Key Responsibilities

• Build and maintain data pipelines using Airflow and Spark 

• Design and optimize data models and queries in BigQuery 

• Implement streaming pipelines using Kafka and Pub/Sub 

• Lead data migration, ingestion, and transformation initiatives 

• Ensure data quality, reliability, and performance at scale 

Required Qualification

• ~5 years of hands-on data engineering experience 

• Strong expertise in GCP (BigQuery, Pub/Sub, Cloud Storage, Dataflow) 

• Production experience with Apache Airflow for workflow orchestration 

• Solid Spark skills for batch and streaming data processing 

• Experience with Kafka or Pub/Sub for real-time pipelines 

• Proven track record with data migration and ETL/ELT projects 

• Strong SQL and Python skills 

Preferred Qualification

• Experience with cloud-native data orchestration and streaming architectures using tools like Apache Beam or Dataproc.