Senior GCP Data Engineer
Senior data engineer designing, building, and maintaining scalable data pipelines on Google Cloud Platform using Kafka, DBT, and Airflow, with CI/CD automation via Jenkins and Kubernetes. Requires strong GCP data services experience plus solid Java and Python skills; based in Bangalore, Chennai, or Hyderabad.
- Compensation
- ₹2.2M–₹3.2M / yr
- Location
- Bangalore, Karnataka; Chennai, Tamil Nadu; Hyderabad, Telangana
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 12+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Strong experience with Google Cloud Platform (GCP) and its data services
- Proficiency in data pipeline orchestration tools such as Kafka and Airflow
- Familiarity with CI/CD practices and tools, particularly Jenkins and Kubernetes
- Solid programming skills in Java and Python
- Understanding of cloud architecture and best practices
Nice to have
- Experience building data pipelines with DBT
- Experience monitoring and troubleshooting data workflows for availability and performance
Full description
We are seeking a highly skilled Senior GCP Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and implementing data solutions on Google Cloud Platform (GCP). As a Senior GCP Data Engineer, you will be responsible for building robust data pipelines, ensuring data quality, and optimizing data workflows using modern tools and technologies.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines on GCP using tools such as Kafka, DBT, and Airflow.
- Implement CI/CD processes using Jenkins and Kubernetes to automate deployment and ensure smooth operations.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Monitor and troubleshoot data workflows to ensure high availability and performance.
- Stay updated with the latest trends and technologies in cloud computing and data engineering.
Required Skills:
- Strong experience with Google Cloud Platform (GCP) and its data services.
- Proficiency in data pipeline orchestration tools such as Kafka and Airflow.
- Familiarity with CI/CD practices and tools, particularly Jenkins and Kubernetes.
- Solid programming skills in Java and Python.
- Understanding of cloud architecture and best practices.
If you are passionate about data engineering and have a proven track record of delivering high-quality data solutions, we would love to hear from you. Join us in leveraging the power of cloud technology to drive business insights and innovation.