Technical Specialist

HCLTech · Cybersecurity · Professional Services · Python · SQL · ETL/ELT · 2 days ago

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Location

In office (Chennai)

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 28, 2026.

Overview

Company

Impact

Profile match

HCLTech

HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

hcltech.com · HQ: Noida, India · Science & Engineering · Professional Services · Cybersecurity · Systems Integrators · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · 5000+ employees · Est. 1976

Tech stack of HCLTech

Job Summary

Strong experience in Data Engineering and designing scalable data solutions on Google Cloud Platform.
Ability to design end-to-end architecture for batch and real-time data-processing solutions.
Advanced hands-on experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, GCS, and Cloud Run.
Strong expertise in Python, SQL, Apache Beam, PySpark, and performance optimization.
Experience in designing and implementing complex ETL/ELT pipelines and data models using dbt.
Strong understanding of BigQuery partitioning, clustering, cost optimization, and query-performance tuning.
Experience with GKE, Kubernetes namespaces, Docker, and container-based application deployment.
Strong experience with Cloud Monitoring, Cloud Logging, alerting, observability, and production monitoring.
Experience with Git-based development, branching strategies, pull-request reviews, CI/CD pipelines, Terraform, and Harness or similar deployment tools.
Ability to lead technical discussions, perform design and code reviews, and provide technical guidance to team members.
Experience in effort estimation, solution documentation, stakeholder communication, and production incident management.
Strong troubleshooting skills with ownership of root-cause analysis, defect resolution, and preventive actions.
Ability to coordinate with business, architecture, infrastructure, and application teams for end-to-end delivery

Key Responsibilities

Strong experience in Data Engineering and designing scalable data solutions on Google Cloud Platform.
Ability to design end-to-end architecture for batch and real-time data-processing solutions.
Advanced hands-on experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, GCS, and Cloud Run.
Strong expertise in Python, SQL, Apache Beam, PySpark, and performance optimization.
Experience in designing and implementing complex ETL/ELT pipelines and data models using dbt.
Strong understanding of BigQuery partitioning, clustering, cost optimization, and query-performance tuning.
Experience with GKE, Kubernetes namespaces, Docker, and container-based application deployment.
Strong experience with Cloud Monitoring, Cloud Logging, alerting, observability, and production monitoring.
Experience with Git-based development, branching strategies, pull-request reviews, CI/CD pipelines, Terraform, and Harness or similar deployment tools.
Ability to lead technical discussions, perform design and code reviews, and provide technical guidance to team members.
Experience in effort estimation, solution documentation, stakeholder communication, and production incident management.
Strong troubleshooting skills with ownership of root-cause analysis, defect resolution, and preventive actions.
Ability to coordinate with business, architecture, infrastructure, and application teams for end-to-end delivery

Skill Requirements

Other Requirements

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