GCP Senior Data Engineer

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.

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




• Expertise in:




• ETL/ELT processes


• Data warehousing & data modeling




• Strong programming skills:




• Python, SQL

Key Competencies

• Strong analytical and problem-solving skills


• Attention to detail and commitment to data accuracy


• Ability to work independently and in cross-functional teams


• Excellent communication and stakeholder management skills

Preferred (Good-to-Have) Skills

• GCP Certifications (Professional Data Engineer / Cloud Architect)


• Experience with Big Data technologies (Hadoop, Spark)


• Exposure to Machine Learning / AI workflows

Familiarity with DevOps practices & CI/CD pipelines

Other Requirements

Skill Evaluation Matrix

Role Details

• Location: Hyderabad / Chennai (Hybrid)


• Positions Open: 4


• Travel: Not required


• Engagement Type: Individual Contributor


• Projects: Enterprise Data & AI engagements