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 solid 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
Robust 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.
Positive understanding of data modeling, partitioning, and performance optimization.

📌 Gcp Data Engineer Bengaluru
🏢 Mastek
📍 Bengaluru