
Data Engineering Lead
1 day ago
We are seeking an experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with expertise in designing and implementing scalable data pipelines.
- Key Responsibilities:
- Create high-performance data pipelines using Apache Airflow, Apache Kafka, and Apache Flink.
- Design and implement robust data warehousing solutions using Snowflake.
- Built scalable cloud-based systems using Amazon Web Services (AWS) or Google Cloud Platform (GCP).
- Lead the development of Continuous Integration/Continuous Deployment processes using Jenkins and GitLab.
- Maintain and monitor various data applications, pipelines, and databases.
- Collaborate with cross-functional teams to achieve business objectives.
- 5+ years of experience in data engineering or similar field.
- Proficiency in Python with at least one data manipulation framework and SQL.
- Experience with REST APIs and building scalable API data platforms.
- Knowledge of AWS, Snowflake, Kubernetes, and Airflow.
- Familiarity with Prometheus, Grafana, and CloudWatch for monitoring and alerting.
- Comfortable working in Linux environments.
- A competitive salary package.
- Opportunities for professional growth and development.
- A collaborative and dynamic work environment.
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