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Implement ETL design patterns for data warehousing using Kimball methodology and master data management, with expertise in T-SQL scripting, query optimization and data governance.
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General awareness of other BlackRock functional areas including, but not limited to: EII Capital Markets and Product Engineering, Portfolio Management, TA Servicing, Global Investment Operations, Data Operations, etc.
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Strong technology proficiency in one or more of the following areas is highly desired: Aladdin technology suite, data model & data feed interaction, API’s, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
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The Enterprise Data Steward is the lead data steward for one or more enterprise data domains, is a subject matter expert for data governance, and will manage complex stewardship efforts such as metadata management, data quality, and data lineage.
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This position is hybrid onsite 2-3 days a week, in Plano, TX and requires someone to be available starting around 6:30/7am CST to work with their data engineers in India and reporting manager in the EU.
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Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake). Proven work experience as a Data Analyst, Data Engineer , Database Developer, Data Architect, Business Analyst or similar role.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
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Knowledge of: advanced level administrative knowledge of Microsoft Active Directory, Azure Active Directory, and hybrid identities; and familiarity with creating and tuning data loss prevention policies and data classification policies.
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This position may also support AML Control Programs such as Audit/Issue management, Records Management, Third Party Management, Cross Border, and Data Privacy. The VP, AML Compliance Officer will also assist to ensure policy compliance, management of operational risk, regulatory adherence, and the institution of best practices relating to Management Control Assessment (MCA), and Issues, Audit Management.
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We leverage our knowledge management platform, MeTRA, and sophisticated AI/ML tooling to rapidly build digital knowledge graphs using open data standards that make them accessible and useable across the lifecycle.
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IBM Mainframe (z Series) configuration items including data, applications and infrastructure: COBOL, CICS, Assembler, REXX, JCL, FileAid, AbendAid, Strobe and SysView; Reviews Lower (non-Production) environments and associated activities to ensure compliance with Enterprise standards and the ISD Environments Management Directive, preventing, or documenting and/or remediating any known gaps.
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Strong background and problem-solving skills with Enterprise Data warehouse, ETL/ELT development, Database Replication, metadata management and data quality. Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration.
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Strong skills in writing SQL queries using databases like Redshift, Microsoft SQL Server, or other industry leading RDBMS.Proven ability to serve as a subject matter expert and trusted advisor on future-proofing big data infrastructure and business strategies for cloud environment.
$147,410 - $174,600 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Design and implement Data Migration and Data Integration across cloud and hybrid environments. Thorough knowledge, expertise and practice Data Management Framework to design world class data stores.
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data management hybrid jobs Company: Smart Data Solutions
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