FTF Hackathon on 5-Sep(Saturday) @Hyderabad For GCP Data Engineer

HCLTech; Hyderabad; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

HCLTech is seeking an experienced Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP). You will build modern data pipelines using BigQuery, PySpark, DBT, and Python, supporting analytical and reporting needs across the enterprise.

The ideal candidate has 5+ years of data engineering experience, strong SQL skills, and hands-on expertise with GCP data services.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of experience in Data Engineering.
• 3+ years of experience working on GCP-based data platforms.
• Strong understanding of ETL/ELT concepts and data warehousing principles.
• Experience with Agile development methodologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and optimize ETL/ELT workflows using PySpark, DBT, and Python.
• Develop and manage data models in BigQuery for analytical and reporting requirements.
• Implement data quality, validation, and monitoring processes.
• Collaborate with business stakeholders, data analysts, and data scientists to understand data requirements.
• Optimize query performance, partitioning, clustering, and storage strategies in BigQuery.
• Automate data engineering processes and deployments using CI/CD practices.
• Ensure data governance, security, and compliance standards are met.
• Troubleshoot production issues and provide performance tuning recommendations.
• Participate in architecture discussions and contribute to best practices for cloud data engineering.

Skills

Python

PySpark

BigQuery

DBT

SQL

Education

Bachelor's degree in CS/IT/Engineering

Tools

Dataflow

Dataproc

Cloud Composer

Pub/Sub

Cloud Monitoring

IAM

Job description

Hi,

We are conducting Hackhron on 5-Sep-26(Saturday) in Hyderabad for GCP data engineer.

Total & Relevant Experience:

Current & Expected CTC:

Notice period:

Current & Preferred location:

Skill Set: GCP, Bigquery, Pyspark, DBT, Python

Job Location: hyderabad

Experience:5+ Years

Location

Job Summary

We are seeking an experienced Data Engineer with 5+ years of experience in designing, developing, and optimizing scalable data solutions on Google Cloud Platform (GCP). The ideal candidate should possess strong expertise in BigQuery, PySpark, DBT, and Python, with hands‑on experience building modern data pipelines, data transformation frameworks, and enterprise data warehouses.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and optimize ETL/ELT workflows using PySpark, DBT, and Python.
• Develop and manage data models in BigQuery for analytical and reporting requirements.
• Implement data quality, validation, and monitoring processes.
• Collaborate with business stakeholders, data analysts, and data scientists to understand data requirements.
• Optimize query performance, partitioning, clustering, and storage strategies in BigQuery.
• Automate data engineering processes and deployments using CI/CD practices.
• Ensure data governance, security, and compliance standards are met.
• Troubleshoot production issues and provide performance tuning recommendations.
• Participate in architecture discussions and contribute to best practices for cloud data engineering.

Required Skills

GCP Technologies

• Google BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Cloud Composer (preferred)
• Pub/Sub (preferred)
• IAM and Cloud Monitoring

Programming & Data Engineering

• Strong proficiency in Python
• Hands‑on experience with PySpark
• Experience building batch and streaming data pipelines
• SQL optimization and performance tuning

Data Transformation

• Strong experience with DBT (Data Build Tool)
• Data modeling (Star Schema, Snowflake Schema)
• Incremental models and DBT testing frameworks

Database & Warehousing

• Expertise in BigQuery
• Knowledge of relational databases (SQL Server, PostgreSQL, Oracle, etc.)
• Data warehouse design and implementation

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of experience in Data Engineering.
• 3+ years of experience working on GCP-based data platforms.
• Strong understanding of ETL/ELT concepts and data warehousing principles.
• Experience with Agile development methodologies.