GCP Senior Data Engineer

We are looking for aSenior 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.

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

• Bachelors or masters degree in computer science IT or related field
• 5-6 years of experience in data engineering with strong exposure to GCP

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

Skill Evaluation Matrix

Role Details

• Location: Hyderabad / Chennai (Hybrid)
• Positions Open: 4
• Travel: Not required
• Engagement Type: Individual Contributor
• Projects: Enterprise Data & AI engagements