GCP Data Engineer- FTF Hackathon in Hyderabad on 10-Oct

HCL Technologies Limited

Hyderabad

Hybrid

INR 2,500,000 - 3,800,000

Full time

8 days ago
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Job summary

HCL Technologies Limited is seeking a GCP Data Engineer in Hyderabad with 4.5+ years of experience. You will design and optimize data pipelines on GCP, build warehousing on BigQuery, and implement ELT/ETL workflows using DBT.

You will work with Data Architects, Analysts, and stakeholders to deliver scalable cloud-based data solutions, ensure data quality, governance, and cost optimization while supporting production processes.

Qualifications

  • 4.5+ years of data engineering experience in GCP environments.
  • Hands-on expertise with BigQuery, Dataproc and PySpark.
  • Experience building ELT/ETL pipelines with DBT and cloud tools.

Responsibilities

  • Design, develop and optimize scalable data pipelines on GCP.
  • Build data warehousing solutions using BigQuery.
  • Create ELT/ETL workflows with DBT and manage costs.
  • Leverage Dataproc for large-scale batch processing.
  • Collaborate with stakeholders to deliver solutions and ensure quality.
  • Participate in code reviews, testing, and production support.

Skills

GCP
BigQuery
PySpark
Python
Dataproc
DBT
Cloud Composer
Pub/Sub
Cloud Functions

Tools

Cloud Storage
Dataproc
GCS
BigQuery (Q)

Job description

Hi

GCP Data Engineer

Exp: 4.5+ Yrs

Job Location: Hyderabad

Notice Period: Immediate to 2 Months

JD:

Key Responsibilities

  • Design, develop, and optimize scalable data pipelines using PySpark, Python, and GCP services.
  • Develop and maintain data warehousing solutions using BigQuery.
  • Build and manage ELT/ETL workflows using DBT (Data Build Tool).
  • Implement large-scale batch and data processing solutions using Google Cloud Dataproc.
  • Develop data transformation models, testing, and documentation using DBT best practices.
  • Optimize BigQuery queries, partitioning, clustering, and cost management strategies.
  • Integrate data from multiple source systems into cloud-based data platforms.
  • Collaborate with Data Architects, Data Analysts, and Business stakeholders to understand requirements and deliver solutions.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Participate in code reviews, troubleshooting, performance tuning, and production support.

Required Skills

Google Cloud Platform (GCP)

  • Strong hands-on experience with:
    • BigQuery
    • Cloud Storage (GCS)
    • Dataproc
    • Cloud Composer (Preferred)
    • Pub/Sub (Preferred)
    • Cloud Functions (Preferred)
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