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Experience with Databricks or similar data platforms. This individual will demonstrate technical leadership and expertise in platform engineering and DevSecOps, utilizing tools such as GitLab and Terraform, and deploying to AWS serverless workloads with Databricks as the backend data platform.
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Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training.
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Experience using cloud-native data warehouse solutions such as Snowflake or Databricks. Experience in data modeling and supporting tooling such as dbt or sqlmesh. One source of truth reporting for the company: Develop and execute a comprehensive data definition and reporting strategy to ensure accurate analysis, and utilization of company data from Snowflake.
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Proven experience with Azure and its AI capabilities, including the use of Azure OpenAI and LLMs. Experience with Databricks for data engineering and exploratory data analysis.
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Required 10+ years Extensive experience with PostgreSQL, Document DB, and Elasticsearch, including designing and managing complex data models Required - Proven experience with infrastructure as code (IaC) tools such as AWS CloudFormation or Terraform.
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US Indirect Tax - Manager of data flows, forms, and remittances with external provider and internal SUT, Property Tax, WHT, & Excise Tax team members. " US & LATAM Tax Audit Support - Manager of data flows, forms, and remittances with external provider.
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Domain knowledge for the following cybersecurity capability areas: Application Security, Vulnerability Management, Data Security and Protection, Cloud Security, Infrastructure Security, Identity and Access Management, Cyber Threat Operations, Cybersecurity Testing.
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Access to no-cost on-demand mental health support, including counselling, mindfulness and meditation, and wellbeing courses. Experience using Business Intelligence (BI) Tools (extra points for Looker experience.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Expertise with Microsoft Power BI data visualization platform; Microsoft Power Platform experience bonus Expertise in data analytics, data presentation, and KPI/dashboard development Expertise in user interface/user experience evaluation/design/development Travel Requirements: Up to 75% in the office and/or travel to clients.
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Ideal candidate will have a wide range of experience architecting modern technology solutions, Knowledge of current and emerging Federal standards such as CMMI, ITIL, NIST Risk Management Framework, FISMA and FEDRAMP with international experience preferred.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. 10+ (for senior) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, soil/water/sludge/rock samples, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Exceptional Microsoft SQL Server design and development skills Service Development: RESTful APIs, Microservices, ASP.Net Core, Azure API Management, Azure API Apps Data: Microsoft SQL Server, Azure SQL, Entity Framework/CosmosDB, MongoDB (nice to have) Strong JavaScript framework experience with React.
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Experience in leading/Implementing cloud-native Microsoft Azure Application Development (software delivery leveraging DevOps), Data Platform and Integration SolutionsExperience in leveraging capabilities, content, and assessment to develop solution vision with client.
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