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When working at Lasso Informatics, you will be on the cutting edge of image processing technology and genetics data,and other scientific methodologies. At least 5 years of experience in front-end development with a focus on ReactJS, Redux, and TypeScript.
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In a nutshell, you will assist the data leadership on shaping the technical vision of advanced analytics and machine learning at SSENSE. As one of the most technically sound team members, your mission will include defining best practices and coaching team members to drive up excellence of advanced analytics and machine learning at SSENSE. In this context, you will collaborate with other data teams on defining and prioritizing requirements for the data platform in order to improve the efficiency of data products’ development.
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Of two full lifecycle ERP implementations leading a technical workstream such as integration, data conversion or extension development. understanding of LCS (Life Cycle Services) and Azure DevOps.
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Demonstrate proficiency in the repair and diagnosis of – with some assistance: Engines (gas and diesel), power train to include differentials, transmissions, clutches, drive shafts, PTO’s and wheel ends, electrical systems including starters and alternators, HVAC systems, steering systems, electronics to include ECM’s, ECU’s, sensors etc., engine bolt on items such as turbos, fan clutches, injectors, cooling system etc., brake systems including ABS, suspension systems (spring and air.
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Proven experience (3-5 years) as a recruitment specialist or in a similar role, with a focus on high-volume recruitment, preferably within a manufacturing or production environment, with a strong understanding of both salaried and unionized employee recruitment processes.
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Posséder une expérience dans les programmes de BI et d’analyse et de visualisation de données (Power BI, Azure, Databricks, Google Data Studio, Tableau) et expérience avec SQL, programmation ou langage pour les calculs statistiques (e.g. R, Python.
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Exceptional analytical, mathematical, computation, and data visualization skills. Certified Compensation Professional (CCP) or similar designation is an asset. quilibre entre vie professionnelle et vie privée grâce à un horaire de travail flexible.
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The Senior Finance Manager will require experience in financial data preparation, controlling and process improvement and administration and will be reporting on the business’ Orders, Revenue, EBIT and Cash in accordance with the business plan.
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Responsibilities- Develop Infrastructure as Code (IaC) (Terraform or cloud-specific language) to provision cloud resources based on the Detailed Solution Architecture (DSA) and the Architecture Implementation Details (AID.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The team at Kensington Dental in Kensington, PE is looking for a passionate, hard-working Associate Dentist on a full-time basis. The team at Kensington Dental in Kensington, PE is looking for a passionate, hard-working Associate Dentist on a full-time basis.
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Knowledge on Kafka, SQL, MongoDB, DB2. Knowledge on Kafka, SQL, MongoDB, DB2. Coordinating work with upstream and downstream teams. Domain knowledge: Investment Banking. Role: MongoDB Developer.
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Drive with Day & Ross for: Paid $1.92 per mile Curtain side trailer Boucherville to USA $50.00 per stop Consistent home time Consistent working hours Full time position Driver friendly environment 1 year class 1 experience required Like any good partnership, we'll have your back while you're on the road.
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Experience in Installing and administering Data Guard. Experience in RAC/Data guard/Standalone patching. Database refreshes through RMAN and Commvault. Planning and execution of Database upgrades and migration.
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Financial Analyst, operational analysis-large distribution company with remote workCompensation includes bonus, insurance, no overtimeThe ideal candidate will be responsible for using their analytical mindset to analyze and interpret financial data, then relating it to potential business trends and issues.
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Solide expérience en développement d'algorithme d'apprentissage machine supervisée, non supervisée et apprentissage profond (deep learning); Langages et technologies : Python, R, Spark ML, TSQL, Azure Data Factory, Azure ML, Azur auto-ML.
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