As an engineer, you will be required to implement projects in the Oil, Gas and Biofuels sector as well as build and strengthen client relationships.With us, you’ll get the opportunity to...Develop process design basics and criteriaAp[...]
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www.SAPNorthAmericaBenefits.com. Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions bas[...]
Job Description We are: Accenture Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the
Manager, Talent Acquisition Head Office (Surrey), BC, 9850 King George Blvd #1500, Surrey, British Columbia, Canada Req #3649 Tuesday, November 26, 2024 We're searching for a dynamic Talent Acquisition Manager to lead our recruitment s[...]
and someone who is passionate about data, and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will exper[...]
near real time data ingestion, calculation engines, and reporting solutions for IT Services organization. The role requires someone who loves data, understands enterprise information systems, has a strong business sense, and can collab[...]
As a Business Intelligence Engineer with our team, you will be working in a large, complex and dynamic, data-driven environment. You will be responsible for developing automated metrics that provide relevant insight to organizational l[...]
experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analys[...]
DESCRIPTIONDo you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to