GCP Data Engineer-
Location : Bangalore
Experience : +6yrs
About the Role
We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform.
The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, and SQL, along with good knowledge of data warehousing and ETL processes.
Primary Skills
Key Responsibilities
- Design and develop scalable ETL/ELT data pipelines on GCP.
- Build and optimize data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.
- Develop data processing applications using Python, PySpark, and SQL.
- Perform data ingestion, transformation, cleansing, and validation.
- Design efficient data models and data warehouse solutions in BigQuery.
- Implement batch and real-time data processing pipelines.
- Optimize pipeline performance and BigQuery queries for scalability and cost efficiency.
- Integrate data from multiple sources into cloud-based data platforms.
- Implement data quality, security, monitoring, and governance practices.
- Work closely with Data Scientists, Architects, Analysts, and business stakeholders.
- Support cloud migration and modernization initiatives.
Specialization
- Azure Data Engineering Advanced: Senior Data Engineer
Job requirements
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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