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Is required Working knowledge of test planning, test data management, automated & manual test execution, and test management tools to support complex data and cloud landscape Working knowledge with Oracle, Teradata, SQL Server, ETL tools and data warehouse architectures highly preferred Working knowledge of QA methodologies, life cycle and processes Experience in Maintaining and Managing Test Environments for Integration and End to End testing.
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Experience with Microsoft SQL Servers; SQL Server System, Oracle, Teradata. This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration, and engaging with DevSecOps Engineer during continuous integration and continuous deployment.
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Review unit test plans and system test cases; provide support during system tests, product integration testing, and UAT. Integrate various data sources including Oracle, SQL Server, Netezza, Fixed Width and Delimited Flat Files, DB2, and XML Files.
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Net Core, MVC Strong experience in Azure DevOps, Visual studio, SQL Server, T-SQL, SSMS, SSIS, DTSX and SSRS Experience with data visualization tools – SSRS, Tableau, D3, COGNOS, and Power BI Experience with Oracle, Teradata, Google BigQuery, Google Cloud Platform, API development is a plus.
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Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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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.
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Expert with SQL programming (SQL Server, Oracle, Teradata) - writing complex SQL queries, SQL scripts, inner joins, outer joins, to manage the SAP Business Objects system.
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Extensive experience in RDBMS like Teradata, Oracle Exadata, MongoDB, SQL Server. + Experience in Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting, Profiling Archiving, Purging Virtualization, Metadata Management, Performing Unit Test, System integration test Support, UAT.
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Awareness of Integration tools within Azure (Azure Data Factory (ADF), Azure Data Brick, Python, Spark SQL) Understanding of older integration is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.
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Teradata and/or SQL Server experience. Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.
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Expert/Advanced level experience with ETL technologies, Data Streaming using integration patterns like Kafka, Spark Streaming. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.
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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). 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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Strong SQL skills, proficiency in extracting, updating data in relational database system such as Oracle, SQL Server and Teradata. Understands the Digital organization’s objectives, and the impact on own projects; contributes to development of new technology integration and enablement plans.
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Experience with data tools & systems such as PowerBI, Teradata, Databricks, SQL Server, BigQuery. Your experience with SQL, Apache Spark and Python will serve you well in this role as you approach data transformation and integration in cloud environments.
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Utilize SSIS for data integration tasks within the Microsoft SQL Server environment. Work with various database implementations (Oracle, SQL Server, Teradata, IBM, etc.
$50 - $60 an hourExpandApply NowActive JobUpdated 6 days ago
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