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Dremio

Senior Analytics Engineer

Posted 9 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United Kingdom
Senior level
Remote
Hiring Remotely in United Kingdom
Senior level
As a Senior Analytics Engineer at Dremio, you'll build and maintain data pipelines, create dashboards, and ensure data quality for the Data Lake. You'll engage with stakeholders to prioritize analytics needs and deploy tracking tools for product telemetry, supporting cross-functional efforts to drive data-driven decision making.
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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, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. 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. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost.  Learn more at www.dremio.com.

About the role

In this 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 be empowered to find opportunities to capture more data in pursuit of a higher degree of observability of the behavior of our users. You will engage with everyone from C-Suite / VPs to Account Executives and Support Engineers to understand needs and drive pipeline integrations and data availability to meet these needs.

What you'll be doing

Initially working cross functionally with product, engineering, marketing and pre-sales leadership you will:

  • 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, communicate dashboarding and reporting dimensions. 
  • Seek opportunities for innovation to further empower our decision makers, mature our 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

  • Bachelors or Masters in Data Science, Computer Science, Math or equivalent
  • At minimum 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 with a clear understanding of window functions, cte’s, subqueries etc. 
  • Basic understanding/familiarity of Iceberg, or existing knowledge of a similar datalake table format with a strong desire to learn about Iceberg
  • Experience creating reports and dashboards using Tableau or equivalent tool
  • Experience working with AWS, GCP or Azure cloud based storage
  • Experience working 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 (JIRA), communication tools (Slack), repository systems (GitHub). 
  • Excellent project management skills with a proven track record of cross-functional impact.
  • Interested and motivated to be part of a fast-moving startup with a fun and accomplished team

#LI-JF1 #LI-Remote

What we value 

At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife.

Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.

Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click here to review the privacy notice. 

Important Security Notice for Candidates

At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement here.

Dremio is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

Top Skills

Python
SQL

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