With over 20 talented data specialists and software engineers, it is Echo Analytics's biggest team and the heartbeat of our most ambitious projects!
This talented group is essential in delivering our products by building and maintaining large-scale data processing and machine learning pipelines that empower everything we do.
Team Organization
To optimize their diverse skills, we’ve structured the team into specialized squads, or “chapters”:
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Data Engineers and SRE
The team focused on data transformation infrastructure and massive ETL pipelines.
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ML Engineers
Engineers who provide powerful algorithms for data modeling and Data Flow designs using machine learning (NLP, image recognition…).
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Data Analysts
Engineers that analyze vast amounts of data for business insights, whether for our customers or internal needs.
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SDK Engineers
Based in Bangalore (following Roam acquisition). Engineers working on mobile programs to track in real-time users’ locations and be able to store and display them.
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Software Engineers
Creators of the Echo Platform, our internal tool that shows geospatial data using maps and charts. They specialize in backend and frontend development, working closely with product teams.
Each chapter collaborates to build geospatial datasets and features that empower our five products:
- Places: A dataset of over 80 million ‘Points of Interest’ (POI) worldwide, offering clean and verified business information.
- Activity: Insights that provide all attributes to understand customer journeys in and around commercial places - Footfall, catchment area, cross-visitation.
- Mobility: Working on “Geopersona”, a map-based audience segmentation tool from real-world mobility patterns
- Echo Internal Platform: Internal platform that blends features from Activity, Mobility, and Places to simplify our operations.
- Location Solutions: SDK Engineers focused on developing the Roam product for advanced location-based solutions.
Delivery Process
Collaboration is our secret sauce and we’ve built up a delivery approach that blends a methodical and energizing mindset:
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- Our teams run on two-week sprints, with Product Managers leading the roadmap. Along the way, standup meetings are a chance to connect, share progress, and ensure everyone is aligned.
- We gather for the Engineering Demo every two weeks, a bi-weekly meeting where progress is showcased, new features are introduced, and ideas are exchanged.
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- Gemba walks: A ritual where managers engage directly with teams to observe workflows on the field and identify opportunities for improvement.
- Problem-solving sessions: A daily 30-minute placeholder where any engineering team member can share and tackle challenges together as a team!
- Tech Obeya: A weekly meeting for managers to discuss burning topics. We centralize all key dashboards (product roadmap, POI Datalake, data delivery performance) to review progress and highlight the areas for improvements
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- Data Analytics weekly wrap-up: Where the Data Analytics team celebrates wins, shares discoveries, and enjoys time together!
- Back-to-school sessions for Data Analytics: In each session, a team member shares expertise or newly acquired skills, encouraging a continuous learning mindset
- Data Engineering Chapters: Monthly meetings for data engineers to share ideas, showcase some demo tools, and refine best practices. Think of it as a data engineer’s book club but with way more Python or SQL lines!
- Machine Learning Wars: Not as dramatic as it sounds (no lightsabers involved). Monthly meetings mainly focused on ML subjects. Everyone is welcome, even non-engineering team members! We share the framework for doing ML at Echo (LLM, Distributed Training, Anti-Patterns…).
- Hackathons: Two-day creative workshop where Echoers turn ideas into POC solutions inspired by the product roadmap. Last sessions focused on improving efficiency and collaboration between Sales and Data Delivery.
- Code Reviews and Pair Programming: Regular practices that strengthen engineering expertise, data quality, and team collaboration
Outstanding metrics
- Numbers of Engineers
- Different Nationalities
- Millions - Number of POIs
- GB - Data Processed Daily
- Billion - Rows Per Day
- Billion - Daily Pings
Tech Stack
We rely on a modern data stack built on GCP, aligning with our core value of excellence.
This approach prioritizes scalability, accuracy, and observability to ensure optimal performance and reliability.
2025 Challenges & Roadmap
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Echo Platform
Developing an internal platform that is the cornerstone of all our products. We have already integrated Mobility (Geopersona) within the platform. Up next? Adding "Places" and "Activity" by year’s end!
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Delivery on scale
Using LLM and prompting to transform how we address customer requests. We plan to launch the first version of an AI delivery copilot capable of interpreting customer needs and running precise SQL queries. Following this, we will implement it into the Echo internal Platform.
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Foundation model
Enriching our product lines with a Large Geospatial Model (LGM) to support forecasting and simulation. Before training large-scale geolocalization models, we plan to build our foundations on quality datasets and small-scale multi-modal models (POIs, Brands, …).
Hear It from Them
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Since I’ve joined Echo, I’ve been working with very competent and knowledgeable people from whom I’ve learned a lot, enjoyed fun company parties, and appreciated how easy it is to connect with everyone.
Julien
Data Analyst
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