Cloud Data Engineer
6 days ago
Job Title : Cloud Data Engineer
Location : Chennai
Experience : 5+ Years (Adjust as needed)
Position Type : Full-Time / Contract (Specify)
Budget : [Specify Budget]
Position Overview :
We are seeking a Cloud Data Engineer with extensive experience in Google Cloud Platform (GCP) and a strong background in data engineering, cloud infrastructure, and software development. The ideal candidate will play a critical role in designing, developing, and maintaining cloud-based data solutions, leveraging GCP services, automation tools, and data engineering best practices.
Key Responsibilities :
- Design and manage data pipelines in GCP using BigQuery, DataFlow, Dataproc, and DataFusion for efficient batch and real-time data processing.
- Develop and maintain infrastructure as code (IaC) using Terraform for provisioning and managing cloud resources.
- Implement event-driven data pipelines using Confluent Kafka and ensure reliable data transfer between systems.
- Develop and optimize API integrations for seamless data communication between different platforms.
- Write efficient, maintainable Python, PySpark, and shell scripts for data processing, automation, and orchestration tasks.
- Collaborate within an Agile development framework to deliver robust, scalable data solutions on time.
- Troubleshoot, monitor, and optimize data pipeline performance, ensuring data accuracy and system reliability.
- Ensure security and cost optimization in cloud infrastructure and data solutions.
Required Skills and Qualifications :
Technical Skills :
Google Cloud Platform (GCP) :
- BigQuery, DataFlow, Dataproc, DataPlex, DataFusion
- Cloud SQL, Cloud Storage, Terraform, & Scripting :
- Proficiency in Python, PySpark, and Shell Scripting
Data Engineering :
- Experience with data transfer utilities, Confluent Kafka, and API Development
Automation & Orchestration :
- Experience with tools like Airflow, Terraform, and Tekton
Version Control :
- Strong understanding of Git or other version control systems
Preferred Skills :
- Advanced knowledge in Python for automation and data transformation tasks.
- Familiarity with API development and consumption, particularly in cloud environments.
- Experience in optimizing cloud storage solutions for cost and performance efficiency.
Experience Required :
- 5+ years of experience in cloud-based data engineering and software development.
- 2+ years of hands-on experience with GCP services.
- 4+ years in Python and PySpark development.
- 2+ years in Confluent Kafka and API Development.
- 2+ years of experience in Agile environments.
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