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

- Robust 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

Skill Area

Mandatory

Expected Proficiency (0–5)

Data Pipeline Architecture

Yes

5

GCP Services (Dataflow, Big Query, Pub/Sub etc.)

Yes

5

Data Integration

Yes

4

Data Storage Optimization

Yes

4

Data Quality & Security

Yes

4

Programming (Python, SQL)

Yes

4

Stakeholder Collaboration

Yes

3

Monitoring & Troubleshooting

Yes

3

Leadership & Mentoring

Yes

3

ETL & Data Warehousing

No

3

Big Data (Hadoop/Spark)

No

3

DevOps

No

2

Role Details

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

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