GCP Data Engineer: Face to Face Hackathon on 19-Sep@ Chennai

HCLTech; Chennai District; On-site; INR 1,600,000 - 2,700,000; Full time

Job summary

HCLTech is seeking an experienced GCP Data Engineer in Chennai to design, develop, and maintain scalable data pipelines on Google Cloud Platform. You will collaborate with analytics teams to drive enterprise data initiatives.

The role emphasizes BigQuery, PySpark, SQL, ETL/ELT pipelines, data quality, and cost optimization. You will work across data sources, ensure governance, and contribute to reporting and analytics.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong experience with Google Cloud Platform (GCP).
• Expertise in BigQuery and advanced SQL.
• Hands-on experience with PySpark for data transformation.
• Experience building ETL/ELT pipelines.
• Good understanding of data warehousing concepts and dimensional modeling.
• Experience with Cloud Composer (Airflow) preferred.
• Knowledge of Git version control.
• Experience with performance tuning of large datasets.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines on GCP.
• Develop and optimize data solutions using BigQuery for large-scale data warehousing and analytics.
• Write complex SQL queries, stored procedures, and performance-tuning scripts.
• Ingest data from multiple structured and unstructured sources into GCP environments.
• Implement data quality, validation, and monitoring frameworks.
• Collaborate with business stakeholders, analysts, and data scientists to understand data requirements.
• Optimize query performance, partitioning, clustering, and cost management in BigQuery.
• Troubleshoot and resolve data pipeline and performance issues.
• Follow best practices for security, governance, and compliance within GCP.

Skills

GCP

BigQuery

SQL

PySpark

ETL/ELT

Data warehousing

Airflow

Git

Analytical

Problem solving

Tools

Cloud Composer (Airflow)

Job description

We are seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), BigQuery, SQL, and PySpark. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data processing workflows, and supporting enterprise analytics and reporting initiatives.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines on GCP.
• Develop and optimize data solutions using BigQuery for large-scale data warehousing and analytics.
• Write complex SQL queries, stored procedures, and performance-tuning scripts.
• Ingest data from multiple structured and unstructured sources into GCP environments.
• Implement data quality, validation, and monitoring frameworks.
• Collaborate with business stakeholders, analysts, and data scientists to understand data requirements.
• Optimize query performance, partitioning, clustering, and cost management in BigQuery.
• Troubleshoot and resolve data pipeline and performance issues.
• Follow best practices for security, governance, and compliance within GCP.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong experience with Google Cloud Platform (GCP).
• Expertise in BigQuery and advanced SQL.
• Hands-on experience with PySpark for data transformation and processing.
• Experience building ETL/ELT pipelines.
• Good understanding of data warehousing concepts and dimensional modeling.
• Experience with workflow orchestration tools such as Cloud Composer (Airflow) is preferred.
• Knowledge of version control systems such as Git.
• Experience with performance tuning and optimization of large datasets.
• Strong analytical and problem-solving skills.