Data Engineer @ cubicfarms Full Time

OVERVIEW

At CubicFarms we believe in the power of technology to feed a changing world. We actively seek talented people who want to make a difference in the ag-tech space by bringing creative ideas to life and leaving an imprint in a healthier, more sustainable world. If you are enthusiastic about joining a dynamic and innovative company on the leading edge of the ag-tech revolution, we invite you to apply!

ABOUT CUBICFARMS

CubicFarms (TSXV:CUB) is an ag-tech company providing automated growing systems for fresh produce and nutritious livestock feed. CubicFarms offers turnkey, commercial scale, hydroponic, automated controlled environment growing systems that can grow predictably and sustainably for 12 months of the year virtually anywhere on earth. The company has sold and installed systems in Canada and internationally and continues to grow a global pipeline of prospective customers. Visit us at www.cubicfarms.com.

THE ROLE: DATA ENGINEER

We are seeking a Data Engineer to join our growing Technology team.  Reporting to the Director of Data Science, you will be a pivotal member of the Technology team building the data tools for our customers and operations teams. We are building a data-driven approach to creating a customer experience by democratizing data in which we are delivering data to our people by building intuitive tools so that our stakeholders and consumers can learn independently. We work closely with our stakeholders to gather all the current business questions, so our data models are relevant. A lot of our data comes directly from our users. Every action a user takes in our product is tracked and analyzed, for the goals of identifying areas that are not working well and determining how we can improve. Working with our team you will be exposed to various facets of scientific data science such computer vision, machine learning, automation, predictive maintenance and more.

We are looking for a Data Engineer who can gather and understand data requirements, present it to the Technology team, and work in the team to achieve high quality data ingestion goals. You need a passion for data and complexities of data acquisition from a rapidly evolving system. You will experience a wide range of problem-solving situations requiring extensive use of data collection and analysis. You will have a chance to work with structured and unstructured data. You will be developing custom data models, visualizations, and algorithms to help with data ingestion, assessing the accuracy of new data and data-gathering strategies, and implementing and developing tools to monitor and analyze data accuracy and performance. You will work closely with a group of Software Engineers, Engineers, Farmers, and Product Managers to create the data infrastructure and tools necessary to drive our team’s initiatives.

EDUCATION & EXPERIENCE:

• 3-5 years of work experience with ETL, Data Modeling, and Data Architecture
• Bachelor’s degree in Computer Science or related technical field, or equivalent work experience.

THE IDEAL CANDIDATE WILL POSSESS:

• Experience in the data warehouse space.
• Experience in custom ETL design, implementation and maintenance.
• Experience with object-oriented programming languages, such as Python
• Experience with schema design and dimensional data modeling.
• Experience in writing SQL statements.
• Experience analyzing data to identify deliverables, gaps and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.
• Knowledge of data processing pipelines and data science concepts
• Experience in processing large volumes of data.
• Hands-on experience in working with relational/NoSQL databases and distributed storage engines, and data warehousing.
• Hands-on experience in PySpark, Hadoop, optimization using cloud tools.
• Familiarity in DevOps practices and working in a Scrum Agile delivery environment.
• Knowledge of Azure services including Cosmos, TSI, Power BI, and IoT Hub is an asset.
• A strong desire to continue to grow your skillset.
• Experience in handling image data is considered an asset.

WHAT WILL YOU DO:

• Manage and execute data warehouse plans for our products.
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve.
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries.
• Support existing processes running in production and implement optimized solutions with limited guidance.
• Collaborate with PM, Platform and UX teams to deliver end-to-end data solutions and build data pipelines.
• Develop and maintain a clean data environment for analysts and data scientists to perform data modeling, mining, and machine learning.
• Prototype and iterate on designs and collaborate with other teams such as Growing and R&D

EQUAL OPPORTUNITY EMPLOYER

CubicFarms is an equal opportunity employer is committed to building a team that represents a variety of backgrounds, perspectives, and skills. We encourage applications from all qualified and enthusiastic candidates. CubicFarms is a growing organization in an emerging industry that will provide the right candidate with significant potential for advancement in the ag-tech space.