GCP Senior Data Engineer

We are looking for a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data ecosystems. This role is critical in enabling data-driven decision-making by developing high-performance data pipelines, ensuring data reliability, and supporting enterprise-wide analytics initiatives. You will work closely with cross-functional stakeholders including data scientists, analysts, and business teams to translate business requirements into robust data solutions.

Key Responsibilities

Data Engineering & Architecture Design, build, and maintain scalable and high-performance data pipelines on GCP. Develop and manage modern data architectures to support batch and real-time processing needs. Implement reusable frameworks to standardize data ingestion and transformation processes. GCP-Based Data Integration Leverage GCP services

such as:

Dataflow Big Query Pub/Sub Cloud Storage Cloud SQL / Fire store Build and optimize data integration workflows ensuring efficiency and scalability. Data Management & Optimization Optimize storage and query performance across GCP data platforms. Ensure cost optimization, performance tuning, and scalable data design. Quality, Governance & Security Implement robust data quality checks , validation frameworks, and monitoring mechanisms. Ensure adherence to data governance, security, and compliance standards . Collaboration & Stakeholder Management Partner with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights. Translate business problems into technical data solutions. Operations & Reliability Monitor, troubleshoot, and ensure high availability and performance of data pipelines. Implement logging, alerting, and observability frameworks. Leadership & Mentoring Provide technical leadership and mentorship to junior engineers. Drive best practices in coding, architecture, and deployment. Continuous Improvement Stay updated with the latest GCP innovations and data engineering best practices . Proactively recommend improvements to enhance system performance and scalability. Required Qualifications & Skills Education & Experience Bachelor’s or master’s degree in computer science, IT, or related field 5-6 + years of experience in data engineering, with strong exposure to

GCP

Skill Requirements Core Technical Skills (Must Have)

Strong hands-on experience with:

Dataflow, Big Query, Pub/Sub Cloud Storage, Cloud SQL, Fire store