GCP Data Engineer

Responsibilities :

Key Responsibilities:

Lead end-to-end solution design and implementation on GCP, ensuring scalability, reliability, and cost efficiency.

Translate business requirements into technical architecture, data models, and implementation plans.

Design, optimize, and maintain complex SQL queries, schemas, and performance tuning strategies for large datasets.

Establish and enforce engineering standards for cloud architecture, security, monitoring, and operational readiness.

Drive technical reviews, architecture discussions, and decision-making across teams and stakeholders.

Mentor engineers through code reviews, design guidance, and best practices for cloud and data development.

Troubleshoot production issues, perform root-cause analysis, and implement preventive improvements.

Collaborate with cross-functional teams to deliver milestones on time with high quality and clear documentation. Minimum Qualifications:

7-9 years of overall experience in technology delivery with strong ownership of system design and implementation.

Bachelor's or Master's degree in BTECH, MTECH, MCA, or MSC (or equivalent relevant education).

Strong hands-on experience with GCP services and cloud-based solution delivery.

Strong proficiency in SQL, including query optimization, indexing concepts, and handling large-scale datasets.

Experience leading technical discussions, guiding implementation, and ensuring engineering quality.

Additional Responsibilities:

Preferred Qualifications:

Experience designing cloud architectures with clear patterns for scalability, resilience, and security on GCP.

Strong understanding of data warehousing and analytics patterns using GCP-native services.

Exposure to CI/CD practices and automated deployments for cloud workloads.

Proven ability to lead teams through ambiguity, manage technical risks, and drive delivery outcomes.

Experience collaborating with stakeholders to define KPIs, SLAs, and operational metrics for production systems.

Technical and Professional Requirements:

Technology- GCP, SQL, BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Monitoring