Gcp Data Engineer
Summary
Design, build, and optimize large-scale ETL/ELT data pipelines on Google Cloud, using Python, PySpark, SQL, Apache Airflow, and GCP services like BigQuery, Dataflow, and Dataproc. Day to day involves building monitored workflows and ensuring data quality, performance, and cost efficiency.
Were Hiring: GCP Data Engineer
Looking for an experienced GCP Data Engineer to build scalable, reliable data pipelines on the cloud.
Experience: 5+ Years
Must-Have Skills:
Python
PySpark
SQL
Apache Airflow
GCP Services (BigQuery, GCS, Dataflow, Dataproc, Cloud Composer)
What Youll Do:
Design and optimize ETL/ELT pipelines for large-scale data
Build and monitor workflows using Apache Airflow
Ensure data quality, performance, and cost efficiency
Collaborate with architects, analysts, and cross-functional teams
Good to Have: CI/CD, Git, data lake and data warehouse experience
Interested? Share your resume at skumar06@altimetrik.com