IT Advisor, Technology Consulting, Digital and Emerging Technologies, Microsoft – Data & AI - Azure Data Platform Engineer (Manager) (Multiple Positions) (1503803), Ernst & Young U.S. LLP, Atlanta, GA.. Must have a Bachelor’s degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience.. Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.. Data Ingestion and Storage using Azure Data Factory, Azure Databricks, Azure SQL, SQL Server, Azure Data Lake, Azure Synapse Analytics, and/or Cosmos DB. Data Governance, Data Catalog, and Master Data Management (MDM).

multiple positions

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. IT Advisor, Technology Consulting, Digital and Emerging Technologies, Microsoft – Data & AI - Azure Data Platform Engineer (Manager) (Multiple Positions) (1503803), Ernst & Young U.S. LLP, Atlanta, GA. Help clients with designing and building data and analytics architectures to enable better business outcomes. Support the strategy, planning, and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments. Develop and maintain data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics. Collect, aggregate, and analyse structured/unstructured data from multiple internal and external sources, present patterns and insights, and scaling data for use in Machine Learning and Artificial Intelligence use cases. Collaborate with Cloud Solution Architects in implementing complex end-to-end Enterprise solutions on Microsoft Azure platform. Work with clients to understand their overall data estate, IT and business priorities and success measures to design implementation architectures and solutions. Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities. Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bachelor’s degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience. Alternatively, will accept a Master’s degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 4 years of advisory and/or consulting work experience. Must have 4 years of experience in data engineering and data architecture. Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics. Must have 2 years of experience in two or more of the following: <ul><li>Data Ingestion and Storage using Azure Data Factory, Azure Databricks, Azure SQL, SQL Server, Azure Data Lake, Azure Synapse Analytics, and/or Cosmos DB</li><li>Technical experience using large data systems on T-SQL and/or Python</li><li>Big Data Analytics in Azure Synapse Analytics, Azure Analysis Services, and/or Snowflake</li><li>Data Governance, Data Catalog, and Master Data Management (MDM). </li></ul>Must have 2 years of experience with ELT (extract, loading, transform) and data ingestion/cleansing. Must have 2 years of experience counselling and mentoring junior level consultants by providing structured, on-the-job feedback. Requires domestic travel up to 70% to serve client needs. Employer will accept any suitable combination of education, training or experience. Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1503803). What We Offer We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $164,310.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. <ul><li>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.</li><li>Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.</li><li>Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.</li><li>Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. </li></ul>If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The Exceptional EY Experience. It’s Yours To Build. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

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