Data Engineer

We are looking for strong Data Engineers to join our Data, Information and Analytics team as client-facing, permanently employed consultants. Someone who is passionate about data and implementing technology solutions and leading project teams to achieve business outcomes. There will be exposure to a wide range of industries, so the ability to quickly understand new business environments is essential. Who are we? Decision Inc. is a global management and technology consulting organisation. We help companies become Data Driven Businesses that are fit to take on the challenges of a digital world. Transforming their current operations and developing their new business platforms to scale innovation into the future. Our experience in leading technology and industry specialisations have enabled us to help companies to make better decisions, faster. We represent the leading technology brands and are experts in the implementation, support and execution of these technologies. What Will You Do? Key Responsibility: You will be assigned a portfolio of project to: Engage with clients to conceptualize data solutionsModernizing existing data environmentAssisting our sales team with Pre-Sales and POCsProvide technical assistance and guidance to our junior and intermediate consultantsCreate and maintain optimal data pipeline architecture,Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Work with data and analytics experts to strive for greater functionality in our data systems.Complete technical reviews for consultantsAssist with necessary technical training for consultants and clientsProvide input into consultants technical growth planDrive technical blogs, forums and/or workshopsAssists support desk where applicableBalance team support responsibilities with billable work, depending on capacity and utilization Who do you Need to Be: Minimum 3-5 years working experience in data engineering Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Experience building and optimizing data pipelines, architectures and data structures.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.A successful history of manipulating, processing and extracting value from large disconnected datasets.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment Bachelor's degree in Computer Science, Information Systems, Information Technology, or related field. Master's degree in a relevant field is advantageous. Microsoft Qualifications Microsoft Certified Solutions Associate: Data & Analytics (Advantageous) SQL Server 2016 or laterSQL Database DevelopmentSQL Database AdministrationSQL BI DevelopmentBI Reporting (PowerBI, QlikSense, Tableau) Microsoft Certified Solutions Expert (Advantageous) Data Management & Analytics Microsoft Azure Certifications (Advantageous) Azure Data Engineer Technology Experience Experience in working with the following technologies: Microsoft SQL ServerSSIS SSASSSRSMicrosoft AzureData FactoryAzure SQLCosmos DBAzure Machine LearningMicrosoft Power BI and/or Qlik