GCP Data Engineer :FTF Discussion on 22-Aug-26(Saturday) in Chennai

HCLTech; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

HCLTech is seeking a skilled GCP Data Engineer in Chennai to design, build, and optimize scalable data pipelines using BigQuery, Dataflow, and Dataproc. The role focuses on analytics, reporting, and BI data platforms, aligned with enterprise data architecture.

You will collaborate with data scientists and architects to ensure data quality, governance, security, and cost control while enabling CI/CD for data pipelines.

Qualifications

• 3+ years of experience in GCP data engineering.
• Proficient with BigQuery, Dataflow, and Dataproc.
• Experience designing scalable data pipelines.

Responsibilities

• Design, develop, and maintain data ingestion and transformation pipelines on GCP.
• Build batch and real-time data processing solutions using Dataflow.
• Develop and optimize data warehouses using BigQuery.
• Implement large-scale data processing using Dataproc (Spark/Hadoop).
• Design ETL/ELT workflows for structured and unstructured data.
• Optimize query performance, partitioning, clustering, and cost in BigQuery.
• Collaborate with Data Architects, Business Analysts, and Data Scientists.
• Troubleshoot pipeline failures and enable high availability.
• Implement CI/CD for data pipelines.

Skills

GCP Data Engineer

BigQuery

Dataflow

Dataproc

Cloud Storage

Pub/Sub

Airflow

Tools

Apache Beam

Spark

Hadoop

Job description

Hi,

Experience: Looking for 3+ Yrs

Mandatory Skill Required: GCP Data Engineer with Bigquery, Dataflow, Dataproc

PFB Venue details for interview

Contact Person: Sindhu

Chennai -

HCLTech ETA Techno Park - ETA 1
Rajiv Gandhi Salai (OMR),
Navallur, Chennai,
Tamil Nadu 603103, India.

Job Summary

We are seeking a skilled GCP Data Engineer with strong experience in Google Cloud Platform (GCP) and hands-on expertise in BigQuery, Dataflow, and Dataproc. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and data platforms to support analytics, reporting, and business intelligence requirements.

Key Responsibilities

• Design, develop, and maintain data ingestion and transformation pipelines on GCP.
• Build batch and real-time data processing solutions using Dataflow.
• Develop and optimize data warehouse solutions using BigQuery.
• Implement large-scale data processing using Dataproc (Spark/Hadoop).
• Design ETL/ELT workflows for structured and unstructured data.
• Optimize query performance, partitioning, clustering, and cost management in BigQuery.
• Integrate data from various sources including databases, APIs, cloud storage, and streaming platforms.
• Ensure data quality, governance, security, and compliance standards.
• Collaborate with Data Architects, Business Analysts, and Data Scientists to deliver data solutions.
• Troubleshoot data pipeline failures and ensure high availability of data services.
• Implement CI/CD processes and automate deployment of data pipelines.

Required Skills

GCP Services

• BigQuery
• Dataflow (Apache Beam)
• Dataproc (Spark, Hadoop)
• Cloud Storage
• Pub/Sub
• Cloud Composer (Airflow)
• Cloud Functions
• IAM and Security

Regards,

Deepawali

(HR-HCLTech)