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2 Weeks ago

Job Opening for GCP Data Engineer (Job Code RT 1412).

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Chennai, Tamil Nadu, India
Space Exploration & Research, Information Technology
Full-Time
Radical Technologies

Overview

Apply Online

Interested candidates kindly apply before 14/04/2025.

CV must be in PDF format, saved with your Full name.

Hiring for GCP Data Engineer!!! Position 1:

  • 6 months Unpaid internship from freshers to experience level and then full-time opportunity
  • Candidates with career gaps are preferred first

Position 2:

  • Senior GCP Data Engineer
  • Immediate joiners or who can join in 15 days
  • BGV is mandatory
  • Total Number of Years of Experience: 5-8 Years

Location:

  • Pune, Bengaluru, Noida, Bhopal, Chennai, New Mumbai, Hyderabad

Employment Type:

  • Full-Time

Mode:

  • Hybrid (3 days work from office mandatory)

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Apache Airflow (via Cloud Composer) on GCP
  • Build and manage data flows using Pub/Sub for real-time streaming and BigQuery for data warehousing
  • Optimize SQL queries and Python scripts for performance and scalability
  • Implement real-time and batch data processing pipelines with a focus on reliability and fault tolerance
  • Monitor, debug, and enhance workflows using Airflow DAGs and Composer logs
  • Ensure data quality and consistency across pipelines
  • Collaborate with cross-functional teams to understand data requirements and deliver robust solutions

Must-Have Skills & Experience:

  • 2 years of hands-on experience with Google Cloud Platform (GCP)
  • Expertise in BigQuery for data storage, querying, and optimization
  • Proficient in Python for scripting and pipeline development
  • Strong SQL skills for querying and transforming large datasets
  • Experience with Cloud Composer / Apache Airflow for orchestrating workflows
  • Familiarity with Pub/Sub for building streaming data pipelines
  • Hands-on experience with streaming data processing and related architecture
  • Knowledge of CI/CD practices and version control (Git)
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