Location | Vancouver British Columbia Canada |
Salary | $90,000 - $107,000Please note that the base pay offered may vary based on factors including but not limited to knowledge, skills and experience, as well as business and organizational needs |
Remote | See job post for details |
First listed | In the last 2 months |
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Job Description
Who we are:
We are a bunch of people who really care about agriculture, food and the challenges facing farming. We want to help farmers with data driven decision making to help nature feed a growing population. Join our team of expert engineers, agronomists, entomologists, crop researchers, and data scientists who are continually conducting research to help drive innovation in agriculture.
Semios is a market leader in leveraging the internet-of-things (IoT) and big data to improve the sustainability and profitability of specialty crops. With 500 million data points being reported by our sensors every day, we leverage our big data analytics, such as in-depth pest and disease modeling, to empower tree fruit and tree nut growers with decision-making tools to minimize resources and risks.
Our innovative work has received several industry awards:
- AgTech Breakthrough Awards Program (2023)
- Selected as winner of the “Overall Smart Irrigation Company Of The Year” award.
- Sustainability Changemaker by SDTC (2022)
- Named as one of the companies which recognize homegrown innovation in sustainable technologies in Canada.
- AgTech Breakthrough Awards Program (2021) – Selected as winner of the "Pest Management Solutions of the Year" award.
- Google Accelerator (2020) – Selected as 1 of 9 companies for the inaugural Google for Startups Accelerator Canada cohort, who are all using technology to solve complex challenges.
- Global CleanTech Top 100 (2020) – Identified as one of the companies best positioned to solve tomorrow’s clean technology challenges.
One of our partners produced this short video which shows what we do and our positive environmental impact.
We know our journey is only achievable by having a great team who shares ideas, tries new things and learns as we go.
Who you are:
Motivated by meaningful work, you are looking for more than just a job; you want to work for a dynamic, growing company that finds solutions to real-life problems, such as helping the world reduce the use of pesticides and helping nature feed a growing population. Your ideal work environment includes a collaborative team spirit with the opportunity to learn and grow as you take the initiative to try new things.
You are looking to make a difference, you want to know your work with big data has real world benefits. Plus you are excited to make your mark by driving the future of Semios’ data engineering approaches and infrastructure.
What you will do:
- Help architect and build Cloud based systems to manage and improve the interface between Semios data and its consumers.
- Design, develop and maintain scalable infrastructure to process and store data, integrate data driven models and automate manual processes.
- Implement highly scalable big data analytics systems in a cloud environment.
- Design and build reliable, monitorable and fault-tolerant data systems & data processes.
- Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Data performance and query optimization, refactoring and migration.
- Write clear documentation of data structures and Data APls across products.
Requirements
We want you to succeed so you will need:
- Advanced skills in SQL; how to write elegant queries; written for humans first, machines second.
- The ability to thrive both autonomously and in a team environment.
- Experience with at least one Data Warehouse (BigQuery, RedShift, Snowflake, On-Prem).
- Excellent verbal & written communication skills: a talent to distill complex ideas to different audiences.
- An in-depth experience with Big Data. A proven track-record of effective collection, storage, and access.
- Hands-on experience with provisioning and developing on cloud platforms, particularly AWS and GCP.
- Proven experience with workflow and scheduling tools like Prefect, Airflow, Luigi, or Kubeflow.
- Excellent troubleshooting skills to rapidly identify and resolve issues.
Nice to have:
- Significant exposure to at least one relational database (Postgres, MySQL).
- Real world experience with containers (Docker) & container management systems (Kubernetes).
- Knowledge of Cloud for IoT.
- A fluency in Python, Node or other imperative language or ability to learn quickly and with enthusiasm.
- Advanced education in Big Data whether from Academia, or Certifications.
Salary range: $90,000 - $107,000
Please note that the base pay offered may vary based on factors including but not limited to knowledge, skills and experience, as well as business and organizational needs.
Benefits
Why this is the opportunity for you:
- Sleep better knowing you're making the world a better place through more sustainable food production
- Opportunity to contribute and make an impact by working on meaningful projects
- Work with a team that values fun, laughter, and each other in a collaborative and casual work environment
- Flexible, hybrid working arrangements and strong work-life balance culture
- Multiple office locations, convenient via transit and bike paths
- Extended medical plan with a Health Spending Account with premiums paid by the company
- Group RRSP, which includes a 3% company paid match after 3 months of employment
At Semios, we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. We know that our differences often can bring about innovation, excellence and meaningful work—therefore, people from all backgrounds are encouraged to apply to our positions. We believe that different perspectives and backgrounds are what make a company flourish and we welcome everyone.
Semios number of job openings over time by month
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