Data Technologist - Data & Analytics
(Toronto ON; on-site)
About Tilray Brands Inc.
Tilray Brands Inc. (Tilray) (Nasdaq : TLRY; TSX : TLRY) is a leading global lifestyle and consumer packaged goods company with operations in Canada the United States Europe Australia and Latin America that is leading as a transformative force at the nexus of cannabis beverage wellness and entertainment elevating lives through moments of connection. Tilrays mission is to be a leading premium lifestyle company with a house of brands and innovative products that inspire joy wellness and create memorable experiences. Tilrays unprecedented platform supports over 40 brands in over 20 countries including comprehensive cannabis offerings hemp-based foods and craft beverages.
Looking to develop your career at the forefront of a rapidly expanding industry
Job Summary :
A Data Technologist in Data and Analyticsplays a key role in Finance Business Intelligence Operations & Master Data.
A visionary with data you will bring creativity and the ability to view short mid and long term potential in your solutions to dynamic data problems. You will work collaboratively with IT Finance and Operations Teams to bring your ideas to fruition.
AI and Machine Learning are changing the landscape of how businesses process store and maintain data so a Data Technologist will have a high aptitude for learning and applying new data technologies with the ability to train and guide others.
As our team incorporates data from multiple ERPs you have an understanding of how to incorporate master data structures and develop categorization strategies for data to support roll up and drill down of finance / manufacturing transactional data. Where datasets have disparate or are mis-aligned you have the ability to work with cross functional teams to align terminology and fill the gaps to ensure your final combined dataset represents cohesive data.
Our current ecosystem includes Microsoft Fabric and Power Platform making your prior knowledge of ingesting transforming and storing / loading data using dataflows notebooks Power Flows / Logic Apps lake houses SQL databases / endpoints and parquet files manipulation will be an asset to the role.
Status : This posting is for an existing vacancy.
Roles and Responsibilities :
Qualifications :
Compensation : The expected annual base salary range for this role is CAD $70000-$100000. If range please note that the actual offer will be determined based on your skills experience education market benchmarks and internal equity.
Total Rewards
At Tilray Brands we recognize the importance of comprehensive total rewards. We provide :
Tilray welcomes applications from all qualified individuals and is committed to employment equity and diversity in the workplace. Tilray does not use artificial intelligence tools to screen assess or select applicants.
Accommodations are available for applicants with disabilities throughout the recruitment process. If you require accommodations for interviews or other meetings please advise when submitting your application.
Please note that Tilray does not authorize engage or sponsor any consultants agencies or organizations that seek certain personal or financial information from you (e.g. passwords login ids credit card information). Tilray does not charge any application processing or onboarding fee at any stage of the recruitment or hiring process.
Tilray does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Tilray or any of its subsidiaries directly or indirectly will be considered Tilray Brands Inc. property. Tilray will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid written and fully executed agency agreement contract for engaged services to submit resumes.
Required Experience :
IC
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 70000 - 100000
Data • Toronto, Ontario, Canada