Roles and Responsibilities:
· As a Senior Data Engineer, you will
· Design and develop big data applications using the latest open-source technologies.
· Desired working in offshore model and Managed outcome
· Develop logical and physical data models for big data platforms.
· Automate workflows using Apache Airflow.
· Create data pipelines using Apache Hive, Apache Spark, Apache Kafka.
· Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support.
· Learn our business domain and technology infrastructure quickly and share your knowledge freely and actively with others in the team.
· GCP Experience
· Experience building data pipelines in GCP
· GCP Dataproc, GCS & BIGQuery experience
Job Type: Full-time
Pay: $55.00 - $60.00 per hour
Expected hours: 40 per week
Schedule:
- 8 hour shift
- Monday to Friday
Experience:
- Data Engineer: 8 years (Required)
- GCP (Google Cloud Platform): 5 years (Required)
- BitBucket/JIRA/Confluence: 6 years (Required)
- Retail: 5 years (Required)
Work Location: Remote
