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Enterprise Data warehouse management, business intelligence, data integration. Google Cloud Big Query, Snowflake Datawarehousing , Exposure to DW tools like Informatica, Teradata, Business Objects and Power BI.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Experience with Data Warehousing or Teradata SQL.Value Based Marketing / CRM experience. As a Data Science Manager on the Consumer Digital Marketing and Base Management - Pricing Revenue Generation and Loyalty Team, you will be an individual contributor.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Utilize SQL Server, DB2, Teradata, and NoSQL databases for data storage and retrieval. Knowledge of Azure development, including Azure Logic Apps, Function Apps, Service Bus, Cosmos DB, API management, App service, and Active Directory is a plus.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Required Skills: MS SQL Server MariaDB SolarWinds DPA Index Tuning E-R Diagramming Data Normalization Backup and Restore Clustered Databases Query Optimization MongoDB PostgreSQL Database Tools: SQL Server Management Studio, Azure Data Studio, SQL Profiler, SQL Prompt.
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Desired certifications: Project Management certification and Teradata Master Certification from a nationally recognized and accepted source. – Provide leadership in concept formulation, technical design, and project management to drive project success.
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With Vantage, we enable companies to modernize their data management, from start to scale. Our connected multi-cloud data platform for enterprise analytics, Teradata Vantage, is an extremely scalable, secure, and resilient offering that simplifies ecosystems by connecting data and making it easier to uncover insights from across the organizationregardless of where that data resides.
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About the role Data Engineer in Data Science and Advanced Analytics is an incredible opportunity within the Commercial Strategic Data Management team to support the transformation of data science and advanced analytics for Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients.
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This involves assisting them in selecting the right platforms, defining their data requirements, and transitioning to modern cloud-based data environments, utilizing platforms like Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks, and Teradata.
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Knowledge of security, access control, identity management, and data privacy/governance (OAuth, RBAC, SCIM, encryption, etc) Strong SQL and RDBMS skills (Oracle, Teradata, Redshift, SQL Server, etc); comfortable working with sample code.
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Utilize databases such as Oracle, DB2 UDB, Sybase, SQL Server, and Teradata for data management tasks. Strong background in data migration, data governance, and master data management.
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Knowledge of Azure development including Azure Logic Apps, Function Apps, Service Bus, Cosmos DB, API management, App service, Active Directory is a plus. Net Developer who is passionate about delivering top notch, software solutions with high quality.
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Hands-on experience with Implementing Hadoop applications (, configuration management, monitoring, debugging, and performance tuning)-Previous experience with any of the RDBMS (Teradata, DB2, MySQL, SQL Server) Required Education: BS in Computer Science is a plus, but not a must.
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Supply Chain Digital Partners – Supply Chain Digital Solutions team works with Inventory Management, Logistics and Warehouse Operations business teams on solving some of the business’ biggest challenges, gain efficiency and improve the customer experience by leveraging data engineering, data science and visualization, data automation and data governance & management.
$119,800 - $171,100 a yearFull-timeExpandUpdated 5 days ago
teradata data management jobs in New York, NY
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