Face To Face Hackathon For GCP Data Engineer on 26-Sep in Noida

HCLTech; Dadri; Hybrid; INR 1,100,000 - 1,700,000; Full time

Job summary

HCLTech is seeking a GCP Data Engineer with over 5 years of experience to design, develop, and maintain large-scale data processing solutions on Google Cloud Platform.

You will work with BigQuery, Dataproc, PySpark, DBT, and Python to build scalable data pipelines and analytics-ready data models, collaborating with analysts and data scientists.

This full-time role involves optimizing performance, ensuring data quality and governance, and contributing to best practices across the data platform.

Qualifications

• 5+ years of experience in Data Engineering and ETL development.
• Strong experience with Google Cloud Platform (GCP).
• Hands-on expertise in: BigQuery, Dataproc, PySpark, DBT, and Python.
• Experience in designing and developing large-scale data pipelines.
• Strong knowledge of SQL and data modeling concepts.

Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and optimize ETL/ELT processes using PySpark, Python, and DBT.
• Develop and manage data warehousing solutions using BigQuery.
• Create and execute batch and distributed data processing jobs using Dataproc.
• Implement data transformation, modeling, and testing frameworks using DBT.
• Optimize query performance, data storage, and processing efficiency in BigQuery.
• Work closely with Business Analysts, Data Scientists, and stakeholders to gather requirements and deliver data solutions.
• Ensure data quality, governance, security, and compliance standards are met.
• Troubleshoot production issues and provide performance tuning recommendations.
• Participate in code reviews, documentation, and best practice implementation.

Skills

GCP

BigQuery

Dataproc

PySpark

DBT

Python

SQL

Data Modeling

ETL

CI/CD

Git

Tools

Dataproc

BigQuery

PySpark

DBT

Python

SQL

Job description

Job Title: GCP Data Engineer
Experience: 5+ Years
Location: Noida, Bangalore, Hyderabad, Chennai
Employment Type: Full-Time

Job Summary

We are seeking a skilled GCP Data Engineer with 5+ years of experience in designing, developing, and maintaining large-scale data processing solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in BigQuery, Dataproc, PySpark, DBT, and Python, along with experience in building scalable data pipelines and optimizing data workflows for analytics and reporting.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and optimize ETL/ELT processes using PySpark, Python, and DBT.
• Develop and manage data warehousing solutions using BigQuery.
• Create and execute batch and distributed data processing jobs using Dataproc.
• Implement data transformation, modeling, and testing frameworks using DBT.
• Optimize query performance, data storage, and processing efficiency in BigQuery.
• Work closely with Business Analysts, Data Scientists, and stakeholders to gather requirements and deliver data solutions.
• Ensure data quality, governance, security, and compliance standards are met.
• Troubleshoot production issues and provide performance tuning recommendations.
• Participate in code reviews, documentation, and best practice implementation.

Required Skills

Technical Skills

• 5+ years of experience in Data Engineering and ETL development.
• Strong experience with Google Cloud Platform (GCP).
• Hands‑on expertise in:
  • BigQuery
  • Dataproc
  • PySpark
  • DBT (Data Build Tool)
  • Python
• Experience in designing and developing large-scale data pipelines.
• Strong knowledge of SQL and data modeling concepts.
• Experience with BigQuery performance tuning and optimization.
• Understanding of CI/CD processes and version control tools such as Git.
• Experience in handling structured and semi-structured data.