Software Engineer – Data Analytics
3 days ago
Roles & Responsibilities
- Develop, operate and optimize the performance of our IT operations data analytics platform to ensure accurate, reliable and timely delivery of key insights for decision making.
- Build out scalable and reliable ETL pipelines and processes to ingest data from a large variety of upstream data sources.
- Work with service owners to develop near-real-time infrastructure, application data monitoring and analytics use cases, and other API-based use cases.
- Build and deploy performant BI web applications to deliver data insights in dashboards to key stakeholders.
- Support daily operation of modern high-performance analytical databases and computation engines like RedShift, Elasticsearch, and Presto.
- Deploy and manage data pipelines, new data services and analytical reporting dashboards
- Troubleshooting problems, involving the appropriate resources and driving resolution of issues with a focus on minimizing impact to end users.
- Applying best practices for managing cluster, scaling and capacity planning.
Requirements
- You can be a good developer in any language but preferably Python and SQL
- Real passion for data, new data technologies, and discovering emerging solutions to the company's growing data needs
- Experience with ELK stack is strongly preferred
- Proficiency in at least one data warehousing solution including but not limited to Elasticsearch, RedShift, and BigQuery.
- Experience in monitoring and visualization tools such as Grafana or Kibana.
- Experience in infrastructure automation tools such as Ansible, Terraform and etc.
- Knowledge with container management and orchestration tools like Kubernetes is a strong plus.
- Experience in building and scaling backend services
- Experience in implementing monitoring tools (e.g. Nagios and Prometheus) is a plus.
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