Technical Specialist
HCLTech
Technical Specialist
About this role
Job Summary
| JD & Role Summary | Design and deliver cloud-native data provisioning, subsetting, and refresh capabilities for GCP lower environments. Build secure and scalable pipelines using BigQuery and associated GCP services to extract, transform, protect, load, validate, and refresh test datasets. Optimize performance and cost while ensuring that data movement, storage, lineage, and access comply with privacy, security, and data-governance requirements. |
| Key Responsibilities | • Design and build automated provisioning pipelines for GCP and BigQuery lower environments. • Implement metadata-driven extraction, subsetting, transformation, loading, and refresh workflows. • Integrate TDM masking and synthetic-data services into end-to-end data pipelines. • Develop incremental and full refresh patterns with scheduling, restartability, reconciliation, and exception handling. • Optimize BigQuery SQL, partitioning, clustering, storage, and compute utilization. • Implement secure service integration, access controls, encryption, logging, lineage, and audit evidence. • Validate record counts, schema consistency, referential integrity, and data quality after provisioning. • Support environment onboarding, performance testing, release deployment, and operational knowledge transfer. |
| Skills | • GCP • BigQuery • SQL and Performance Tuning • Python • Data Pipelines and Orchestration • Data Subsetting • Automated Refresh • Cloud Security and IAM |
| Experience Level | 3-10 Years |
| Mode Of Hiring |
Key Responsibilities
| JD & Role Summary | Design and deliver cloud-native data provisioning, subsetting, and refresh capabilities for GCP lower environments. Build secure and scalable pipelines using BigQuery and associated GCP services to extract, transform, protect, load, validate, and refresh test datasets. Optimize performance and cost while ensuring that data movement, storage, lineage, and access comply with privacy, security, and data-governance requirements. |
| Key Responsibilities | • Design and build automated provisioning pipelines for GCP and BigQuery lower environments. • Implement metadata-driven extraction, subsetting, transformation, loading, and refresh workflows. • Integrate TDM masking and synthetic-data services into end-to-end data pipelines. • Develop incremental and full refresh patterns with scheduling, restartability, reconciliation, and exception handling. • Optimize BigQuery SQL, partitioning, clustering, storage, and compute utilization. • Implement secure service integration, access controls, encryption, logging, lineage, and audit evidence. • Validate record counts, schema consistency, referential integrity, and data quality after provisioning. • Support environment onboarding, performance testing, release deployment, and operational knowledge transfer. |
| Skills | • GCP • BigQuery • SQL and Performance Tuning • Python • Data Pipelines and Orchestration • Data Subsetting • Automated Refresh • Cloud Security and IAM |
| Experience Level | 3-10 Years |
| Mode Of Hiring |
Skill Requirements
| JD & Role Summary | Design and deliver cloud-native data provisioning, subsetting, and refresh capabilities for GCP lower environments. Build secure and scalable pipelines using BigQuery and associated GCP services to extract, transform, protect, load, validate, and refresh test datasets. Optimize performance and cost while ensuring that data movement, storage, lineage, and access comply with privacy, security, and data-governance requirements. |
| Key Responsibilities | • Design and build automated provisioning pipelines for GCP and BigQuery lower environments. • Implement metadata-driven extraction, subsetting, transformation, loading, and refresh workflows. • Integrate TDM masking and synthetic-data services into end-to-end data pipelines. • Develop incremental and full refresh patterns with scheduling, restartability, reconciliation, and exception handling. • Optimize BigQuery SQL, partitioning, clustering, storage, and compute utilization. • Implement secure service integration, access controls, encryption, logging, lineage, and audit evidence. • Validate record counts, schema consistency, referential integrity, and data quality after provisioning. • Support environment onboarding, performance testing, release deployment, and operational knowledge transfer. |
| Skills | • GCP • BigQuery • SQL and Performance Tuning • Python • Data Pipelines and Orchestration • Data Subsetting • Automated Refresh • Cloud Security and IAM |
| Experience Level | 3-10 Years |
| Mode Of Hiring |
Other Requirements
Frequently Asked Questions
Is the salary disclosed for the Technical Specialist position at HCLTech?
The salary for this Technical Specialist role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Technical Specialist position at HCLTech located?
This Technical Specialist role at HCLTech is based in Hyderabad, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Technical Specialist position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Technical Specialist job at HCLTech posted?
This Technical Specialist position at HCLTech was posted on Sep 21, 2026. Apply as soon as possible — early applications are often reviewed first.
Technical Specialist
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.