Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. Hundreds of thousands of developers around the globe trust Mattermost to increase their productivity by bringing together team communication, task and project management, and workflow orchestration into a unified platform for agile software development.
Founded in 2016, Mattermost’s open source platform powers over 800,000 workspaces worldwide with the support of over 4,000 contributors from across the developer community. The company serves over 800 customers, including European Parliament, NASA, Nasdaq, Samsung, SAP, United States Air Force and Wealthfront, and is backed by world-class investors including Battery Ventures, Redpoint, S28 Capital, YC Continuity. To learn more, visit www.mattermost.com.
We value high impact work, ownership, self-awareness and being focused on customer success. If these values match who you are, we hope you'll learn more about working at Mattermost and apply!
Mattermost is a data-driven organization, and we are looking for a best-in-class Data Analytics Engineer to operate, maintain and enhance our internal self-service data warehouse. You will be responsible for managing our Snowflake data warehouse, building and maintaining ETL and data ingestion processes, and providing assistance to other teams within the company who input data into the warehouse and carry out analytics with the data it holds.
Responsibilities:
- Design, deploy, own and maintain best-in-class data infrastructure (Snowflake, Airflow, dbt, EKS, etc.)
- Manage the development and operation of high-volume data pipelines to enable the business to make data-driven decisions.
- Partner with the Analytics team to build data models that are actionable for the business
- Drive strategic and architectural decisions around the evolution of our data warehouse and pipelines.
- Write complex SQL queries and ETL pipelines.
- Collaborate with Product and Engineering teams to ensure that new products and features are instrumented to capture product usage data/telemetry
- Provide assistance to other teams within the company supplying data to the warehouse or consuming it for analytics.
- Design schemas and guide usage of the data warehouse to maintain it as a high quality source of insights.
Required Background/Skills:
- +7 years experience as a Data Engineer
- +3 years experience using Python
- Strong SQL SkillsExperience building and managing a data lake in an enterprise setting
- Experience applying Software Engineering best practices to Data Analytics, including CI/CD, version control, infrastructure as code, etc.
- Experience in Schema Design, Data Modelling and Metadata management
- Comfortable working with a variety of different tools and scripting languages and flexible in your choice of key technologies in the data analytics stack.
- Ability to work independently in a small, globally-distributed remote team.
- Strong written and verbal communication skills and a proven ability to work with engineers, data analysts and non-technical stakeholders across all departments of an organization.
Nice to haves:
- Experience developing software and scripts in Go and Javascript.
- Experience with Snowflake, Apache Airflow, dbt and Rudderstack.
- Experience with data visualisation tools such as Looker.
- Experience working in open source communities.
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