• Full Time
  • Chennai

Website HCL Tec

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HCLTech Walk-in Drive 2026: GCP Data Engineer (Chennai)

HCLTech is conducting an in-person (Face-to-Face) walk-in recruitment drive in Chennai, Tamil Nadu, for senior GCP Data Engineers. This role requires 7 to 10 years of experience specialising in Google Cloud Platform (GCP) data services, big data processing, and enterprise data pipeline orchestration.
Interested candidates with relevant expertise in BigQuery, Dataflow, Dataproc, Cloud Composer, and PySpark can share their updated resumes directly with the talent acquisition team at selvakumari.b@hcltech.com.

Job Overview

Attribute Details
Role GCP Data Engineer
Company HCLTech
Location Chennai, Tamil Nadu, India
Experience 7 – 10 Years
Interview Mode Face-to-Face (F2F) Walk-in Drive in Chennai
Application Email selvakumari.b@hcltech.com
Core Cloud Stack Google Cloud Platform (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer)
Core Languages Python, PySpark, SQL, Java

Roles and Responsibilities

  • GCP Data Architecture: Design, build, and optimize scalable enterprise data lakes, data warehouses, and analytics pipelines on Google Cloud Platform.
  • ETL/ELT Pipeline Development: Develop batch and real-time streaming data ingestion workflows using Dataflow, Dataproc, and Pub/Sub.
  • Data Warehousing & Modeling: Construct high-performance data models and write optimized BigQuery SQLqueries for complex reporting and analytics datasets.
  • Pipeline Orchestration: Automate and manage end-to-end data processing DAGs using Cloud Composer (Apache Airflow) and serverless Cloud Functions.
  • DevOps & CI/CD: Implement modern DataOps practices, version control workflows with Git, and automated CI/CD deployment pipelines.
  • Data Lake Management: Store and manage structured and unstructured enterprise assets across Cloud Storage (GCS) buckets with appropriate security and lifecycle configurations.

Candidate Qualifications & Skill Requirements

Key Qualifications

  • Experience: 7–10 years of overall data engineering experience with strong hands-on expertise in GCP cloud environments.
  • GCP Cloud Native Stack: Direct experience using BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions.
  • Programming Languages: Proficiency in Python, PySpark, or Java alongside advanced SQL development skills.
  • Data Modeling: Strong foundation in dimensional modeling, schema design, star/snowflake architectures, and ETL/ELT optimization.
  • DevOps & Source Control: Practical working knowledge of Git, CI/CD deployment pipelines, and operational monitoring.

About HCLTech

HCLTech is a leading global technology company, home to over 220,000+ people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. Headquartered in India, HCLTech partners with global enterprises across financial services, manufacturing, technology, life sciences, and retail to modernise business and cloud architectures.

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