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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions; internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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Understanding and being highly proficient at querying a wide variety of healthcare data and related population data (medical/pharmacy claims, behavioral health claims, health care management (HCM) records, electronic medical records (EMR), provider databases (AMA, NPI, DEA, etc.
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The Senior Software Engineer - Master Data Management has a demonstrated track record delivering technically sound, high-quality, innovative, and fully functional software solutions that adhere to coding standards and technical design.
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This position encompasses both office work (technical design, project/task management, data analysis, and report preparation) as well as field work. As our new hydrogeologist you will be part of the team that utilizes critical thinking abilities for analysis and group participation for development of reports based on evaluation of environmental data and application of regulatory criteria.
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Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholdersFamiliarity with latest trends in data engineering and data management (APIs, data virtualization, stream data integration, augmented data integration.
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Thoroughly understands and provides solutions considering Security technology choices, such as design, protocols support, secrets management, data security, client server communication, token handling, Session management, credential vaulting, OIDC/ OAuth flows, authorization patterns, identity federation, cloud architectures, cryptography, cloud native services, cloud security etc.
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Programming Languages/Infrastructure as Code/ Code Management : Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys.
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A deep technical background in Snowflake, Azure cloud technologies, and strong experience in financial data management and GRC frameworks are essential. Extensive experience in financial data management and knowledge of GRC frameworks, with a strong focus on compliance and regulatory requirements.
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As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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The Sr Data Scientist is responsible for participating in the full array of predictive modeling activities at BHI. Conduct quantitative analyses, author study reports, and create innovative analytic approaches.
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Implemented CI/CD with automated testing in Jenkins, Github Actions, or Gitlab CI/CD Familiarity with AWS Services not limited to Glue, Athena, Lambda, S3, and DynamoDB Demonstrated experience implementing data management life cycle, using data quality functions like standardization, transformation, rationalization, linking, and matching.
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PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
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Stay up to date with industry trends and best practices in data architecture, cloud computing, and data management, evaluating and recommending new technologies and tools. Design and develop data architecture solutions utilizing Microsoft Azure services, including Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Databricks and Azure Analysis Services.
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Must have Programming Languages/Infrastructure as Code/ Code Management : Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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