HCLTech→
GCP Senior Data Lead at HCLTech in Hyderabad, Telangana, IN
Skills
Job Description
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.
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
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 |
Other Requirements
Education & Experience
- Bachelor’s or master’s degree in computer science, IT, or related field
- 8+ years of experience in data engineering, with strong exposure to GCP