Job Title: Senior Data EngineersJob ID: GB675457525Location: Vancouver, BCOverview:Our terrific client is a direct-to-consumer (DTC) ecommerce platform purpose built for the wine production industry. The platform architecture – a multi-tenant SaaS application - includes a data and analytics system for applying industry-wide analyses to increase sales by discovering new opportunities and creating actionable recommendations. They have asked us to identify several data engineers to rapidly lift and execute this project to completion over the next 24 months. The Senior Data Engineers will use their experience with and understanding of server and serverless technologies to help shape and execute the company's roadmap for data flow and system architecture of the all-new Customer Data Platform (CDP). You should understand the different types of ecommerce data and their relevance to the core objectives of the platform; improving conversions, increasing transaction total value and creating net new customers for their winery customers. What you will be doing:

• Working closely with other developers, architects and product owners using Agile and SCRUM to design big data solutions and shape them into workable stories and plans.
• Design and develop software for a large-scale, cloud-based SaaS solution using open-source technologies
• Deliver across the entire software app development lifecycle—design, build, deploy, test, and release
• Peer-reviewing code and mentoring and supporting junior team members. Build strong partnerships with other teams internally and externally to solve problems, and ensure we deliver a cohesive customer experience.
• Proactively seeking out new technologies and best practices and support the team in adopting them.
• Drive benchmarking, optimization, and fine-tuning of software performance

What you must have:

• 6+ years of backend software development engineering or data engineering using Ruby, Go, Java or Python.
• Identify the different types of ecommerce data and its relevance to the core objectives of the platform; improving conversions, increasing transaction total value and creating net new customers
• Thorough understanding of lambla and kappa data processing architectures and the ability to apply either depending on the problem definition.
• Experience with high-scale data ingestion, transformation and distributed processing tools like Kafka, Spark and Databricks
• Ability to create virtual data sets and use them in reporting scenarios to visualize the data
• Excellent verbal and written communication skills
• Bachelor's degree in CS, CE, EE or equivalent experience

For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.comBy applying to TEEMA on any job portal implies you are entering into a business relationship with us and therefore grants TEEMA consent to send you further job updates or industry and company-related information.