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Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake) 5+ years of experience developing BI/DW solutions in Informatica Powercenter or similar tool like IICS, Microsoft ADF, Apache Spark, Talend, but not limited to architecture design/development with the ability to resolve issues quickly and efficiently.
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Experience with technologies such as: Micro Services Architecture (MSA), Kafka, Docker, Telerik Splunk, Kubernetes (AKS, Redhat OpenShift, etc.) 5-9 years of experience working with enterprise database management system (e.g. SQL Server, Oracle, DB2, Informix, Teradata.
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Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Good to have Teradata Experience (not Mandatory.
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5+ years of hands-on experience in implementation and performance tuning MPP databases (Oracle Exadata, Teradata, Netezza, Greenplum, etc.) 10+ years of experience in at least two IT disciplines (such as data architecture, technical cloud architecture, analytics & data science, big data technologies, application development, information analysis, database management, data governance & security) in a heterogeneous environment.
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5-9 years of experience working with enterprise database management systems (e.g. SQL Server, Oracle, DB2, Informix, Teradata). Adhere to current architecture, design, implementation, security standards, best practices, development standards, practices, and processes.
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Knowledge and exposure to Azure SQL DataWarehouse, Databricks or other cloud or on-premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). 5+ years of experience developing BI/DW solutions in Informatica PowerCenter or similar tools like IICS, Microsoft ADF, Apache Spark, and Talend, but not limited to architecture design/development with the ability to resolve issues quickly and efficiently.
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5+ years advanced hands-on experience in developing ETL processes using major RDBMS (e.g. SQL Server, Azure Synapse, Oracle, Exadata, DB2, Teradata) Can conduct diagnosis of standard business problems, factoring in an understanding of current technical and applications architecture.
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Experience designing and deploying large-scale distributed data processing systems with technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik, or others.
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Advanced experience with data platforms including GCP, Teradata and SAP HANA. Leads the development of technology transitions or architecture evolutions by creating foundational examples of working solutions and coaches' teams on how to build on those examples.
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3 years of experience working with Data Warehouses such as Redshift, Snowflake, Vertica, or Teradata. 3 years of experience working as a software engineer focused on Data Warehouse architecture, analysis, design, and development in Big data technologies and AWS technologies.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). 5+ years of experience developing BI/DW solutions in Informatica PowerCenter or similar tools like IICS, Microsoft ADF, Apache Spark, Talend, but not limited to architecture design/development with the ability to resolve issues quickly and efficiently.
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Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc. Architect market leading Databricks solutions on leading Cloud platforms like Azure, AWS, and GCP. This includes ETL/ELT and Lakehouse architecture and design.
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Experience with Lambda and Kappa architecture implementations is a plus. The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica PowerCenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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Knowledge of SQL, Snowflake, BIGQUERY, GCP, Teradata. Key subject areas within CDAO include Analytics and Data Science, Data Architecture, Data Platforms, Data Engineering Core Data Management, and Data Governance.
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3+ years of experience with technologies such as: Micro Services Architecture (MSA), Kafka, Docker, Telerik Splunk, Kubernetes (AKS, Redhat OpenShift, etc.) 3+ years of experience working with enterprise database management system (e.g., SQL Server, Oracle, DB2, Informix, Teradata.
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