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Experience with Data Warehousing or Teradata SQL. 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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Deep understanding Data Warehousing tools like Teradata, Snowflake. Primary skills: Teradata, Datastage. Role: Teradata Architect. Secondary skills: Databricks, Snowflake. Deep understanding Data Warehousing tools like Teradata, Snowflake.
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Experience with Databases like Sql Server, Teradata, Snowflake, Synapse. Good understanding of data engineering principles, data modelling, data warehousing, and ETL/ELT processes which includes data testing, validation and reconciliation processes.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Designing data architecture and implementing/ integrating D&A platforms, within the P&LS Commercial ecosystem, such as ERP (SAP S4, Oracle); CRM (Veeva, SFDC); Contracts & Pricing (Model N, SAP Vistex, Vendavo); Customer MDM (Reltio, Informatica, Veeva Network); Data warehousing and Reporting (Qlik, Tableau, Power BI etc.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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4) Required minimum 7 or more years of experience with GCP & Teradata data warehousing systems and Informatics. 11) Any relevant certifications, such as Teradata or GCP certifications, would be a plus.
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Expertise in Data Warehousing ETL Tool DataStage using Components like DataStage Designer, DataStage Director and DataStage Operations Console. 4+years of experience in database technologies like DB2, Oracle, TERADATA, Hive and HBase.
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Requires 5 years of experience with data warehousing, Teradata and Datastage. Requires experience with the GCP Platform and GCP tools (Big Query, DBT, Astronomer and Tekton) Requires 5 years of experience with data warehousing, Teradata and Datastage.
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Drive the data strategy and align it with continuously changing business landscapes utilizing his background in data design, data architecture, and data modeling (both transactional and analytical). Requires 5 years of experience creating data products using HDFS and Hive within Hadoop to analyze and secure data; or building data pipelines, developing data products to support critical business initiatives, and overseeing data landing requests.
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7 years of experience: performing data integration utilizing ETL methodologies, SQL, and Stored Procedures in large-scale environments; developing solutions for data warehousing including architecture, data sourcing, acquisition, integration, transformation, and presentation; and designing and developing SQL queries utilizing Teradata Stored Procedures to load and update data in reporting data marts.
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Key Responsibilities: Develop a comprehensive migration strategy for our data infrastructure, waving goodbye to legacy Teradata warehousing solutions and on-prem Hadoop/Hive, and saying hello to the enchanted land of Big Query in GCP. Implement cloud-based solutions using a spellbook of GCP services and technologies, including BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, Cloud Spanner, Cloud SQL, Cloud Functions, and Cloud Scheduler.
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IMS, DB2, Oracle and Teradata Databases, Data Warehousing. Java Developer, DB2, Cogno, PEGA, Enterprise Architect(SCEA), Project Management, Certified Quality Analyst (CQA), Scrum Master Certification, Lean/Six Sigma.
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Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or DataBricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R. Must be proficient with analysis in Excel including but not limited to Pivot, Vlookup, trend analysis etc.
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Data Warehousing Experience with SQL Server, Oracle, Redshift, or Teradata. Data Warehousing Experience with SQL Server, Oracle, Redshift, or Teradata. Experience in building a modern next-generation data warehouse platform from the ground up in Snowflake.
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10+ Experience working with various databases (Teradata, Oracle), Snowflake, AWS, data lake querying engines with modern cloud-based data architectures. Strong working knowledge of concepts and components related to data management and governance, including data architecture, data warehousing, data models, data lineage, data transformations and techniques.
Full-timeExpandUpdated 11 days ago - UpvoteDownvoteShare Job
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JAVA Developer, DB2 Certification, Cognos Certification. COBOL, Visual Basic, C C. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.
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