Data Engineer (ETL- BIGDATA, JAVA, GCP) - Gurgaon
GurgramFull Time
BIGQUERY
ETL
ETL - BIG DATA
ETL TESTING
AUTOMATION
AWS
BIGDATA
ETL- BIGDATA
JAVA
GCP
GCP
GO OGLE CLOUD PLATFORM
KUB ERNETES
SCALABLE DATA PIPELINES
Job description
Research & Development Engineer (ETL)
We are seeking a highly skilled Research & Development Engineer (ETL) to join our team in Gurgaon. The ideal candidate will have experience in ETL testing, automation, and working with big data technologies such as AWS, BigData, and Google Cloud Platform (GCP).
Location
Gurgaon
Responsibilities
- Design, develop, and implement scalable data pipelines using ETL tools and technologies.
- Collaborate with cross-functional teams to identify and prioritize ETL testing and automation requirements.
- Develop and maintain automated testing frameworks for ETL processes using tools such as Java and Kubernetes.
- Work with big data technologies such as BigQuery and GCP to design and implement data warehousing and analytics solutions.
- Troubleshoot and resolve complex ETL issues and optimize data pipeline performance.
Requirements
- 3-6 years of experience in ETL testing, automation, and big data technologies.
- Strong knowledge of ETL tools and technologies, including AWS, BigData, and GCP.
- Proficiency in programming languages such as Java and experience with Kubernetes.
- Experience with big data technologies such as BigQuery and GCP.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Benefits
- Opportunity to work with a dynamic team on cutting-edge projects.
- Professional growth and development opportunities.
- Comprehensive health insurance and retirement plans.
- Paid time off and holidays.
- Access to state-of-the-art technology and tools.
Skills Required
Data Engineer (ETL- BIGDATA, JAVA, GCP) - Gurgaon
ITES/BPO/KPO
Graduation
Full Time, Permanent
Key Skills
- BIGQUERY
- ETL
- ETL - BIG DATA
- ETL TESTING
- AUTOMATION
- AWS
- BIGDATA
- ETL- BIGDATA
- JAVA
- GCP
- GCP
- GO OGLE CLOUD PLATFORM
- KUB ERNETES
- SCALABLE DATA PIPELINES
Other Information
GO/JC/2715/2026
Priya Srinivasan
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