Ambient combines a decade of operational experience with design and engineering prowess to improve apartment living and management in the most impactful, cost-effective way possible. The name 'Ambient' embodies our vision to create a category-defining platform that seamlessly integrates smart technology into the built environment and transforms the way people live, visit, and work in multifamily communities. Our focus is on increasing the value of multifamily properties by making them more efficient to operate and more comfortable to live in. As a Staff or Lead Analytics Engineer you are a key stakeholder in decision making across the organization. The impact you bring spans the organization from the product and engineering teams to operations and finance. Your role and that of others on the team is highly cross functional, as this decision support will sometimes span all the way from automating data acquisition to analysis. This is a uniquely cross-functional technical leadership role; your deep understanding of the technical and logistical trade-offs at play for the problems the team solves will drive discovery, design, and implementation of tools that you and the rest of the Data Team leverage to provide all of the above.
Senior Data Analytics Engineer at Ambient
Brasil
Requirements
Skills
- Pipeline Architecture
- Expert in SQL
- Expert in Data Modeling
- Strong Quantitative Communicator
- Strong Software Skills and Troubleshooting Intuition
- Python
- Go
- JavaScript
Responsibilities
- Pilot and establish improvements to the patterns our team applies when creating new data models, views, and data flows from a variety of sources to support product experimentation and device troubleshooting.
- Facilitate collaboration sessions with engineers across our stack and distill insights into actionable plans to improve our telemetry collection capabilities and better inform downstream alerting metrics and troubleshooting tools.
- Own the continuous improvement of the tools and patterns used within the team to build data quality tests for our IOT device telemetry and ERP system including testing for data recency, cardinality, etc.
- Drive clarity on which events best capture the user experience on Ambient web and mobile apps; bring frameworks and data strategies to these cross functional conversations with the objective of taking maximum advantage of both off the shelf product analytics tools and our internal analytics stack.
- Build out standardization for onboarding materials to support business users through workshops, query and dashboard performance monitoring, etc.
- Bring repeatable patterns and architecture that make common data transformation tasks easier to design, build, test, and maintain (Ex. aggregates, event sequencing/grouping, time series spines, etc) – including navigating the trade-offs of human-in-the loop vs. full automation for change management.
Technologies
GitHubFivetranAirflowBigQuerySnowflakeDatabricksdbtPythonGoJavaScriptBI toolsFront-end
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