GCP Data Engineer

Data Engineer – GCP
Experience: 5–8 years
Location: Bangalore
Employment Type: Full-time
Role Overview
We are looking for an experienced GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The candidate should have strong hands-on experience with GCP data services, ETL/ELT development, SQL, and Python.
Key Responsibilities
Design and develop scalable ETL/ELT data pipelines on Google Cloud Platform.
Build and maintain data pipelines using Cloud Dataflow, Dataproc, Cloud Composer, and BigQuery.
Develop complex SQL queries and optimize BigQuery performance.
Develop data processing solutions using Python and PySpark.
Work with GCS, BigQuery, Pub/Sub, Dataflow, Dataproc, and Cloud Composer.
Implement data ingestion from databases, APIs, files, and other sources.
Develop data models and support data warehouse/lakehouse solutions.
Implement data quality, validation, monitoring, and error-handling mechanisms.
Optimize pipeline performance and cloud resource utilization.
Collaborate with data architects, analysts, developers, and business stakeholders.
Follow security, governance, and CI/CD best practices.
Required Skills
Strong hands-on experience with GCP data engineering services.
Good knowledge of BigQuery, GCS, Dataflow, Dataproc, and Cloud Composer.
Strong SQL and Python skills.
Experience with PySpark and distributed data processing.
Strong understanding of ETL/ELT concepts and data warehousing.
Experience working with batch and/or real-time data pipelines.
Knowledge of Git and CI/CD tools.
Good understanding of data modeling, partitioning, and performance optimization.

Work arrangement
Hybrid