Full-Time Senior Analytics Engineer
Dremio is hiring a remote Full-Time Senior Analytics Engineer. The career level for this job opening is Expert and is accepting UK based applicants remotely. Read complete job description before applying.
Dremio
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Be Part of Building the Future
Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases.
About the role
You will be responsible for data pipelines into the Data Lake, data availability and quality of the Data Lake and creating reports and dashboards. You will find opportunities to capture more data for user behavior observability. Engage with stakeholders to understand, document, and prioritize data-driven decision-making needs.
What you'll be doing
- Engage with stakeholders to understand, document, and prioritize data-driven decision making needs.
- Collaborate cross-functionally to deploy necessary tracking/analytics tools to support product usage telemetry data needs.
- Create and maintain data pipelines adhering to semantic layer best practices for internal Data Lake.
- Build and maintain data pipelines to provide enriched telemetry data for anomaly detection use-cases.
- Configure, deploy, and maintain integrations with popular tools such as GitHub and Slack.
- Support pipeline development in response to internal data, analytics, and requests required by the business.
- Establish, document, and communicate dashboarding and reporting dimensions.
- Seek opportunities for innovation to further empower decision-makers, mature the Lakehouse, and drive the business.
- Create Dashboards on product telemetry, user activity, pipeline health, documentation usage, etc.
- QA Dashboards and Reports against the raw data and partner with Data Lake owners to ensure accuracy.
What we're looking for
- Bachelor's or Master's in Data Science, Computer Science, Math or equivalent
- 5+ years of experience as an Analytics Engineer, Data Engineer, or similar role
- Expert in designing and implementing data pipelines using Python
- Highly skilled SQL expert
- Basic understanding/familiarity of Iceberg or similar datalake table format
- Experience creating reports and dashboards using Tableau or equivalent
- Experience working with AWS, GCP, or Azure cloud-based storage
- Experience with tools like FiveTran, Stitch, or equivalent
- Experience with product analytics data solutions like Intercom, Heap, and Google Analytics
- Strong familiarity with dbt
- Experience with ticketing systems, communication tools, and repository systems
- Excellent project management skills