Noida, Uttar Pradesh, India
Information Technology
Full-Time
Radical Technologies India
Overview
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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: 6months Unpaid internship from freshers to experience level and then full-time opportunity Candidate with career gap 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 Exp: 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
Full Name
Fields with (*) are compulsory.
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: 6months Unpaid internship from freshers to experience level and then full-time opportunity Candidate with career gap 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 Exp: 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
- 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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- Current Employment Status?
- Year of Passout
- Total year of Experience
- Relevant year of Experience
- Current Annual Salary
- Primary Skill
- Education
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