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Strong employer brand, Bengaluru metro, mid-level generalist GCP Data Engineer role creates high candidate competition.
Data engineering skills broadly transferable, but GCP specialization increases domain sensitivity.
Explicit 2+ years and mandatory GCP tech stack raise screening strictness significantly.
Design, develop, and maintain scalable ETL/ELT and real-time streaming data pipelines using GCP services like Cloud Dataflow, Cloud Composer, Pub/Sub, and BigQuery.
Architect and optimize data lake and data warehouse solutions, including data modeling, partitioning, clustering, and data lifecycle management on GCP.
Implement automated data quality checks, monitoring, error handling, and ensure data security and compliance across the data infrastructure.
Bachelor's degree in Computer Science, Engineering, or related field.
Minimum 2 years of experience in data engineering or related roles including 2+ years specifically with Google Cloud Platform.
Proficiency in Python/Java and SQL with experience in tools like Cloud Dataflow, Cloud Composer, BigQuery, Dataform/dbt, and Cloud Functions.
Experience with both relational (Cloud SQL, PostgreSQL, MySQL) and NoSQL databases (Bigtable, Firestore).
Experienced in building and managing cloud-native data engineering solutions primarily on Google Cloud Platform with a focus on ETL/ELT pipelines and data warehousing.
Familiar with infrastructure-as-code, version control (Git), CI/CD pipelines, and capable of optimizing pipeline performance and cost.
Capable of designing robust data models, implementing real-time data sync (CDC), and automating data quality and security controls.