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On Premise: SQL Server, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS). Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
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Databricks Or Snowflake and SQL Server( Azure Synapse, Azure SQL Use same Engine) Should have in depth knowledge of designing data models using data in Databricks, Azure Synapse, Azure SQL, SQL Server.
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NET, Node.js); Databases (SQL, MySQL, SQL Server, Cloud-Managed Databases); Cloud (Amazon Web Services, Microsoft Azure, Google Cloud); DevOps (Jenkins, Packer, Azure DevOps, Circle CI, Travis.
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Executes database development using the vendor data model (SQL Server, BigQuery) Minimum of 3 years of applied experience using programming or database languages (SQL, Oracle, BigQuery, etc.
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Set up connectivity to Santander on-prem data sources (mainly Oracle, SQL Server, Denodo). Set up connectivity to Santander Snowflake enterprise data warehouse and AWS Athena data lake.
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Lead efforts to architect, design, develop, and support high quality data, analytics, reporting and integration solutions using Microsoft’s BI Platform: SQL Server database, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) SharePoint, and BI/data visualization tools.
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Competency with at least 3 and exposure to most of these technologies: Microsoft Fabric (some exposure or training required) Azure Storage Azure Synapse Pipelines or Azure Data Factory Azure Synapse Analytics or SQL Server Administration and Querying Azure Databricks (PySpark, SparkSQL, etc.
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Strong proficiency in R, Python, SAS, Visual Studio SSIS and MS SQL Server. Build and run data queries from multiple systems and prepare data to be used as input for quantitative models and report generation using Visual Studio SSIS and MS SQL Server.
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Experience in SQL Server and Epic Systems. Transforms complex data sets into actionable insights using SQL, VBA, Power BI. Bachelor’s Degree or equivalent work experience required in quantitative discipline (Mathematics, Statistics, Computer Science, Finance, Economics, or similar), and 2+ years in a business developer role using Epic systems.
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Proficiency in SQL Server Integration Services (SSIS) for ETL (Extract, Transform, Load) processes and data integration. - Strong expertise in Microsoft BizTalk Server including design, development, and administration of BizTalk solutions.
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Net, Python, HTML, Java script, Angular JS, Database, SQL, XML,) or Databases (Oracle, SQL Server, MySQL, MangoDB) Bachelor’s degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
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Experience with the following technologies is an asset: Access Control, CCTV (IP), Intrusion Systems, Client-Servicer security applications, MS SQL databases, Server and Storage Infrastructure.
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Proficiency in database technologies such as SQL Server, MySQL, PostgreSQL, MongoDB, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud) As Data Architect and Senior SQL DBA, you will be responsible for designing and implementing the company's data architecture strategy to support business objectives and enable data-driven decision-making.
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Support Risk Based Audits and Issue Validation through independent testing of data sets across multiple platforms, including SAS, SQL Server, Oracle and other databases for accuracy and applicability to internal audit testing and regulatory requirements.
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Knowledge of relational database management systems like SQL Server/Snowflake. Develop/Maintain programs in SSIS/ Spark/ SQL Stored Procedures as part of ELT/ETL pipelines. Proficient in writing SQL queries and data analysis.
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