We are looking for a skilled GCP BigQuery Data Engineer to design, develop, and optimize large-scale data warehouse solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in BigQuery, data pipelines (ETL/ELT), and SQL performance optimization, along with hands-on experience in building scalable and secure data solutions.
Key Responsibilities
- :Design and optimize BigQuery data models, schemas, and storage structures for performance and cost efficienc
- yDevelop and maintain scalable ETL/ELT pipelines using tools like Cloud Composer (Airflow), Dataflow, and Datapro
- cWrite and optimize complex SQL queries (GoogleSQL) for high-performance data processin
- gManage data ingestion pipelines using tools such as Pub/Sub and Dataflo
- wIntegrate data from multiple sources into BigQuery and ensure data qualit
- yImplement data governance, security, and access control mechanism
- sMonitor and optimize query performance and BigQuery resource utilization (cost control
- )Collaborate with data analysts, scientists, and business teams for data solution
- sDocument data architecture, processes, and workflow
s
Required Skills & Qualification
- s:Strong hands-on experience with GCP BigQuery and Cloud Storage (Mandator
- y)Proficiency in SQL (GoogleSQL) and Pyth
- onExperience in building ETL/ELT pipelines and data workflo
- wsHands-on experience with Dataflow, Cloud Composer (Airflow), or Datapr
- ocKnowledge of data modeling and data warehousing concep
- tsExperience with data ingestion tools like Pub/S
- ubUnderstanding of data governance, security, and access contro
- lsStrong problem-solving and analytical skil
ls
