Overview
Who we are : Founded in 2010, Semios Group is a leading agricultural technology company helping growers, agronomists, and ag retailers manage over 100 million acres across five countries. Semios pioneered variable-rate pheromone-based mating disruption in orchards and has since expanded into a comprehensive portfolio covering crop protection, water management, frost control, automation, and a leading farm management information system. The Semios Group includes trusted brands such as Semios, Agworld, Altrac, and Greenbook. Our innovative work has been recognized with several industry awards, including : AgTech Breakthrough - Smart Irrigation Company & Pest Management Solution of the Year; Thrive Top 50; Google for Startups Accelerator Cohort; Global Cleantech Top 100.
We know our journey is achievable by having a great team who shares ideas, tries new things, and learns as we go.
You are
You're driven by purpose and motivated by work that matters. You're looking for more than a role—you want to be part of a growing, forward-thinking company solving real-world challenges to improve how farming works, today and for the future.
What you will do
- 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
- Continuously identify bottlenecks in the data stack and optimize queries and processes for cost and performance
- Write clear documentation of data processes and products
Requirements
Advanced skills in SQL; how to write elegant Queries; written for humans first, machines secondThe ability to thrive both autonomously and in a team environmentHands-on experience with provisioning and developing on cloud platforms (familiarity with GCP is a definite plus)Experience with at least one Data Warehouse (BigQuery, RedShift, Snowflake, On-Prem)Excellent verbal & written communication skills : the ability to distill complex ideas to different audiencesIn-depth experience with Big Data. A proven track-record of effective collection, storage, and accessProven experience with workflow and scheduling tools (e.g., Prefect, Airflow, Dagster, Kubeflow) and version control (Git)A fluency in Python, Node or other imperative language or ability to learn quickly and with enthusiasmExcellent troubleshooting skills to rapidly identify and resolve issuesNice to have
Significant exposure to at least one relational database (Postgres, MySQL)Real world experience with containers (Docker) & container management systems (Kubernetes)Experience or interest in working with IoT Cloud and IoT dataFamiliarity with data transformation tools (dbt, SQLMesh, Dataform) and syncing tools (dlt, Fivetran, Airbyte)Experience enabling Machine Learning workflows (MLOps)Advanced education in Big Data and / or Data Engineering whether from academia or certificationsSalary & Benefits
Salary range : $98,000 - $125,000 per year
We publish a salary range to provide transparency and represent the full growth potential of the role; offers are based on demonstrated mastery and experience and generally fall near the midpoint.
Benefits
Purposeful Work : Make a global impact by advancing sustainable food productionOur People : Work with a fun, collaborative, and supportive teamRecharge : Generous vacation policy, company-paid holidays and year-end winter breakWork Flexibility : Hybrid working arrangements and strong work-life balance culturePrioritize Your Well-Being : Comprehensive health plansGroup RRSP, with a 3% company paid match after one year of employmentTransit- and bike-friendly office locationAt Semios Group, we value the full range of experience and perspectives people bring—not just what's listed in a job description. If your background is a close match, we encourage you to apply. If you need accommodations during the interview process, please let us know.
We welcome all applicants regardless of race, gender, orientation, sexual identity, economic class, ability, disability, age, religious beliefs or disbeliefs, or status. We believe that different perspectives and backgrounds are what make a company flourish.
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