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 contemporary 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 deplo
📌 GCP Senior Data Engineer (Chennai)
🏢 HCL Tech
📍 Chennai
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