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Provide advisory and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data to help companies unlock the value of big technology investments.
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Power BI/Fabric Technical Consultant Transition and Implementation: Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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Title: Data Integration Engineer, Principal Engineer. The Data Integration Engineer will also develop and deploy tools for real-time analysis and visualization of all relevant end-to-end process and analytical data and metadata to enable a fully integrate process and analytical data workflow.
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This includes enterprise automation (e.g. workflow automation, tools integration), enterprise systems and information technology (IT) operations (e.g. internal systems and network administration, enterprise identity, desktop support), and enterprise data platform (e.g. data warehousing/data lake, enterprise data product development.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Data Management and Query Optimization: Manage and optimize data queries in Snowflake, ensuring data integrity, efficiency, and compliance with data governance standards.
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Oversight on Deploy Data Loss Prevention (DLP) solutions focusing on PII and PCI related data that may be in SaaS applications (e.g. Google Workspace, Jira, Confluence, Salesforce, ServiceNow.
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Experience with data integration and ETL tools (e.g., AWS DMS, SSIS, MuleSoft, Talend). Experience with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse), and object-oriented data platforms (e.g., NoSQL, Hadoop, MongoDB.
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Experience with big data technologies(e.g. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data. Experience with data governance, data privacy and compliance.
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Work closely with our partners across IT, Finance, and EX to manage upstream and downstream Anaplan data integration dependencies. With a strong dose of data savvy and a dedication to build upon your existing Anaplan model builder abilities, you will partner across FP&A, Finance Systems, HR, and IT to craft new functionality, support end user adoption, and champion process improvements.
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Validates analysis of technical data, influences product engineering design and makes robotics, automation or technical recommendations to support production system integration. Experience with Model Based Engineering, Data Integration, and a solid understanding of the Enterprise Standard Gated Practice.
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About the RoleThis job may involve working in areas such as Investigations, Information Governance and Electronic Discovery (eDiscovery) related to the collection of computer and digital data, digital forensics, cyber investigations, data management, privacy and security, document review consulting, and engagement project management as part of a rotational program that provides exposure to all parts of the business.
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Additional knowledge and expertise in the following areas preferred, but not required:Data aggregation and data warehousingModern analytic and visualization tools (Microsoft Power BI, Qlik, Tableau, Looker, Sisense, Domo, and Alteryx)Coding (SQL, Python, and R.
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Familiarity with massive data sets and tools to deal with them (E.g. Snowflake, Databricks, AWS) We are seeking a senior data scientist who will enable the game Studio behind one of our top titles to confidently make data driven decisions.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago
big data governance integration jobs Title: data engineer in Seattle, WA
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