GCP Data Engineer

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞
We are looking for experienced GCP Data Engineers to design, build, and optimize scalable data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience with BigQuery, PySpark, and SQL, and should be comfortable working in large-scale data environments.


𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP)
Build and optimize data models using BigQuery for analytics and reporting
Develop and manage ETL/ELT pipelines using PySpark
Write optimized and complex SQL queries for large datasets
Ensure data quality, data governance, and performance optimization
Work closely with data architects, analysts, and business stakeholders
Troubleshoot and resolve data pipeline and performance issues
Participate in code reviews and follow best practices for data engineering
Support production deployments and ongoing enhancements

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬

Google Cloud Platform (GCP)
BigQuery
PySpark
SQL (Advanced)

𝐆𝐨𝐨𝐝 𝐭𝐨 𝐇𝐚𝐯𝐞 𝐒𝐤𝐢𝐥𝐥𝐬

Experience with GCP services such as Cloud Storage, Dataflow, Dataproc, Pub/Sub
Knowledge of data warehousing concepts and dimensional modeling
Experience in handling large-scale structured and semi-structured data
CI/CD exposure for data pipelines
Agile/Scrum working experience