GCP Data Engineer

Join a team where your cloud expertise and data-driven mindset directly shape scalable, reliable solutions. In this role, you’ll lead the design and delivery of modern platforms on Google Cloud Platform, partnering closely with engineering, data, and business stakeholders to turn complex requirements into secure, high-performing systems. You’ll guide technical decisions, set best practices, and mentor team members while staying hands-on with architecture, SQL-driven data workflows, and operational excellence. If you enjoy solving real-world problems, improving systems continuously, and building a culture of collaboration and ownership, this is a great opportunity to make a visible impact across projects and teams.

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.

Technical requirements

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

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.

Education

MCA,MSc,MTech,Bachelor of Engineering,BTech