Gcp Engineer

HCLTech; Nagpur District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

HCLTech in Nagpur is seeking a Senior Data Engineer with deep GCP expertise to design, build, and optimize scalable data ecosystems. You will develop high-performance data pipelines, ensure data reliability, and collaborate with data scientists, analysts, and business teams.

The role emphasizes data governance, security, and continuous improvement of pipelines and architectures. This office-based position requires 3–7 years of experience and a strong command of GCP services such as Dataflow,

Qualifications

• 3–7 years of hands-on data engineering experience.
• Strong proficiency in GCP data services and pipelines.
• Experience with data governance and security basics.
• Ability to translate business requirements into robust data solutions.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP.
• Develop data architectures for batch and real-time processing.
• Implement data quality checks and monitoring.

Skills

GCP

Data pipelines

Data architecture

Cloud services

Data engineering

Tools

Dataflow

BigQuery

Pub/Sub

Cloud Storage

Cloud SQL

Firestore

Job description

Experience-3 to 7 years

Role: GCP Senior Data Engineer

Location-Nagpur(Work from Office)

Job Summary

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.