Job description

Quisitive (TSXV: QUIS) is a premier, global Microsoft partner that harnesses the Microsoft platform and complementary technologies, including custom solutions and first-party offerings, to generate transformational impact for enterprise customers. Our Cloud Solutions business focuses on helping enterprises move, operate, and innovate in the three Microsoft clouds. Centering on our LedgerPay product suite, our Payments Solutions business leverages the Microsoft Azure cloud to transform the payment processing industry into an entirely new source of customer engagement and consumer value. Quisitive is comprised of expert leaders in technology who use cloud-based solutions to drive business value. With a long history and incredible depth of knowledge in Microsoft products, as well as a commitment to continual learning and achievement of advanced specializations, Quisitive provides the highest quality technical expertise to achieve our customers' goals. Our Cloud Solutions business encompasses infrastructure, data and analytics, digital workplace, application development, and business applications services that apply the benefits of technology to empower enterprise customers. As a complement to our Cloud Solutions services, Quisitive also develops complete first-party business applications, including emPerform, to better serve our customers and their business goals. Quisitive's Payments Solutions business provides payment processing services to both merchants and ISOs. Our flagship product platform LedgerPay is a cloud-based data insights and Payments Intelligence suite that turns everyday transaction data into customer loyalty for merchants. A quickly growing and evolving organization, Quisitive has made five corporate acquisitions, CRG, Menlo Technologies, Mazik Global, BankCard USA and Catapult Systems, in the past two years and will continue to add companies with capabilities that allow us to stay a step ahead and best serve our customers in their quest for innovation. Quisitive serves clients globally from nine employee hubs across the world. For more information, visit www.quisitive.com and follow @BeQuisitive. We are currently seeking an Azure Data Engineer that can bring their expertise, experience and perspective to the Quisitive team to help us build solutions that empower holistic and tangible transformation at every level. This is a remote position, open to candidates in the lower 48 United States. The Azure Data Engineer is proficient in distributed computing principles and familiar with key architectures including Lambda and Kappa architectures, and has a broad experience across a set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Server, Azure SQL Data Warehouse (Synapse), Azure Cosmos DB), messaging systems (e.g., Apache Kafka, Azure Event Hubs, Azure IoT Hub) and data processing engines (e.g., Apache Spark/Storm, Azure Data Lake Analytics, Azure Stream Analytics). The ideal candidate has three or more years' experience working on solutions that collect, process, store and analyze huge volume of data, fast moving data or data that has significant schema variability. Will be responsible for design and execution on our client facing engagements; Must be willing to take on the responsibility of learning tools of the trade when required and enjoy working closely with clients and team members. Communicate on a daily basis with various internal and external clients (by e-mail, phone, telepresence) and deliver and support client solutions. The position will have great demands for imaginative thinking, with the need to be flexible and committed. Engineer must have the technical acumen to provide guidance and support to other members of the team to ensure project success. Teamwork is critical aspect to the role, working together to deliver a high quality, reliable service to our clients. We are seeking highly qualified technical experts for this role. You will have a strong broad-based generalist background with specialized, proven experience with implementing Data and Analytics solutions in the Public/Hybrid/Private Cloud space. All work for this role is currently remote; candidates located in the lower 48 united states are encouraged to apply. Responsibilities: Participate in the creation of High-Level Designs and Low-Level Designs for areas of expertise when scope requires Generate project support documentation, including procedural documents for implemented systems when scope requires Maintain required level of knowledge on company-offered solutions including the completion of assigned courses and relevant certification exams when applicable. Stay current with emerging technologies and advancements within existing technologies Be able to educate others within the organizations in the areas of your expertise Work as part of an implementation team to deliver Azure data solutions to clients Partners with Big Data architects and other key stakeholders to ensure that project deliverables align with the delivery project objectives. Qualifications: 2-5 years of experience with one or more scripting languages, such as SQL, Python, Scala 2-5 years of experience building data pipelines to operationalize end-to-end solutions. 4 years of experience in data analytics and data mining with proven quantitative orientation. 2-5 years of working on complex reporting requirements, large, complex data sets, and various reporting tools, such as Power BI. 2-5 years of demonstrated ability to deliver high-quality reporting metrics to customers and executives. 5 years of proven ability to judge data results as valid and accurate. 3-5 years of experience building advanced analytics (including machine learning) solutions. 5 years of experience delivering proven database modernization solutions. 2-5 years of experience in ingesting and performing advance analytics on data from multiple sources, including batch analytics, interactive analytics, real-time/streaming analytics. Strong preference for experience with application rationalization. Must have Professional Services or Consulting experience with large enterprise deployments Must understand Public, Private, & Hybrid Cloud Strategies Fluent understanding of Agile and/or ITIL Strong organizational and analytical skills Strong communication skills, both written and verbal with great attention to detail Troubleshooting skills (patience and determination to find and solve problems) REQUIRED SKILLS & KNOWLEDGE: Deep understanding of using data and analytics services to solve enterprise data challenges. Extensive architecture and design experience with complex applications across various data sources and platforms. Highly proficient in distributed computing principals and familiar with key architectures, including Lambda and Kappa architectures, and has extensive experience designing solutions leverage a diverse assortment of data sources. Deep understanding of common data store technologies, such as SQL Database/Server, Azure Synapse, Warehouse, Azure Data Lake Storage, Azure Blob Storage, and some 3 rd party data sources. Solid understanding of data governance and creating data dictionaries. Understanding of how to accelerate a customer's digital transformation using advanced analytics, artificial intelligence (AI), and Big Data. Strong understanding of scripting languages, including R, Python, Scala, and SQL. Experienced in Azure DevOps, creating Repos, Pipelines, Boards Experienced in Azure PaaS Services like Azure Data Factory, Azure Data Bricks, Azure SQL Managed Instance, Azure Functions, Push Notifications, API Management, Azure Key Vault Experience developing and managing data quality monitoring and working with data governance councils and stewards, including creating and tracking KPIs and data dictionaries STRONGLY DESIRED SKILLS: Presentation skills with a high degree of comfort with both large and small audiences. Experience in leveraging Azure Databricks / AzureML / Azure Cognitive Services solutions Experience with Automation and Infrastructure as Code concepts using tooling such as ARM Templates, Bison, Terraform, Ansible, etc. Experience with Microsoft AI/ML solutions Experience with manipulating RESTful APIs to programmatically automate manual tasks Experience with C#, DMX, DAX, MDX, SQL, T-SQL, Java, Scala, Python, PowerShell, R. Microsoft Azure Certifications related to Data and Analytics strongly preferred (e.g. Microsoft Certified: Azure Data Engineer Associate DP-200/201, and/or 70-764, 70-767, 70-768, and 70-778) Experience working with and integrating other vendors such as Snowflake, MongoDB, Red Hat and other cloud technologies and ISVs Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows. Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.

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