Principal Engineer of Data Engineering, AiDash
Office located in San Jose, CA
Satellite-first AI applications
Job no longer available
Satellite-first AI applications
201-500 employees
Job no longer available
Office located in San Jose, CA
201-500 employees
Company mission
To create a greener, cleaner, safer planet from space.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
- Minimum of 12+ years of experience in data engineering with a proven track record of designing and operating large-scale data systems
- Experience building and maintaining modern data pipelines in the cloud or hybrid
- Strong experience with big data technologies (e.g., Hadoop, Spark), database systems (e.g., SQL, NoSQL), and ETL tools
- Strong hands-on expertise with at least one programming language: Scala, Java, or Python
- Deep understanding of data modelling, data warehousing solutions, and data architecture strategies for both transactional and analytical systems
- Experience with cloud services (AWS, Azure, Google Cloud) and understanding of data pipeline tools and services offered by these platforms
- Excellent problem-solving, analytical, communication & teamwork skills
- Leadership experience and the ability to work cross-functionally with other teams to achieve company goals
Desirable
- Experience in building platform on geospatial data management and processing
- Hands on experience in writing, designing image processing system, complex operations on geo data
What the job involves
- Architect and implement scalable data processing platform for managing large-scale, heterogeneous geospatial data, including satellite imagery, LiDAR data, weather information, and enterprise datasets
- Ensure these systems can efficiently ingest, store, and process diverse data types to support various analytical and operational needs
- Implement rigorous data quality control measures and standardisation processes to maintain the integrity and accuracy of datasets
- Develop protocols for data validation, cleaning, and deduplication, ensuring high-quality data is available for critical decision-making processes
- Work closely with data scientists, analysts, and business stakeholders to understand data requirements and implement systems that enable data-driven decision-making
- Stay abreast of industry trends and innovations in data engineering and propose the adoption of new technologies, tools, and methodologies to improve our data systems
- Evolve AiDash architecture as we continue to scale
- Lead large initiatives across teams (refactor service to improve code quality, runtime efficiency, resource optimisation, keep stack updated, propose new technologies etc)Be in-house expert and provide consultation to product engineers to help them build scalable and reliable systems
- Provide technical direction and leadership to drive large initiatives and execute key org goals
Our take
The growing constellations of satellites delivering high definition earth imaging, along with advancements in AI, have spawned a flourishing business in ‘digital twins’ for global asset management. These digital data-compilation copies of on-the-ground locations can be used to help predict and mitigate the effects of climate disaster events - which cost the US billions of dollars each year.
AiDash’s various products help manage disaster, disruption and wildfires, as well as monitoring vegetation. The latter service, its original one, has a host of high-profile global clients, such as National Grid. The company's expansion into climate resilience demonstrates a keen awareness of both its tech's potential and the direction of the market - with environmental issues becoming even more of a hot topic in recent years.
The company has done well to prove its agility, which may well enable it to stay ahead of more specified rivals as they enter the scene. This includes companies like Kettle and Technosylva which operate in the predictive climate analytics space. AiDash's comparatively diverse offering should help it retain a competitive edge, while the substantial funding it has secured supports the pursuit of heightened global expansion.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Apr 2024
$58.5m
SERIES C
Nov 2022
$10m
LATE VC
Total funding: $101.5m
Company benefits
- Multiply your growth - Grow into your best self while you are helping us grow. Where are you on your career path? How can we help?
- Know your view is valued - Your concepts, your perspectives, your opinions, your creativity
- Balance work with life - You’ll need personal time for the things that matter. You’ll have it
- Get world-class rewards - Comprehensive benefits, ESOPs and other perks
Company HQ
University South, Palo Alto, CA
Leadership
Abhishek Vinod Singh
(CEO & Co-founder)Co-founded Mitrr and DbyDX Software, then moved into a SVP and COO role at Kellton Tech Solutions. Most recently spent a decade as co-founder, director, and advisor at Edureka.
Rahul Saxena
(Chief Product & Technology Officer, Co-founder)Spent time in senior Engineering roles at Qwest Software Services and RSA Security, then went on to co-found allMemoirs and Quiklo.
Nitin Das
(Chief AI Officer & Co-founder)Previously directed Applied Research at Kvantum, then acted as Lead AI Scientist for Target. Additionally co-founded Uvaca Private Ltd.
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