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Data Warehouse Developer Senior. data warehouse developer senior. SQL Server Integration Services (SSIS), Python, C#, Agile. Working in a fast-paced, collaborative environment, youll support the on-going operation of Claims analytics data pipelines, and contribute to efforts to modernize to cloud based analytics solutions.
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Design / Develop / Deploy data warehouse enhancements using the ETL tools of the company (Talend & SSIS). - To support ERP & Application Manager in implementing and maintaining an integrated ERP, MES, LIMS, EPIMS, CMMM, CRM, LMS, other satellite systems, data warehousing integrating relevant data from all the systems to provide business reporting to the business users.
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Create and support ETL processes for data from SQL and non-SQL platforms into a data warehouse. Provide for support for MS SQL databases utilizing SSRS, SSIS and SSAS servers and applications.
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Sr. Data Warehouse Engineer J-4266. Capstone IT is currently seeking a Sr. Data Engineer to join our client's team, focusing on leveraging Azure's data services to develop their data lake within the Azure ecosystem, utilizing Databricks, Synapse Analytics, and Azure Data Factory.
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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. Experience in Data migration from RDMS to snowflake cloud Data warehouse.
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Design, code, test, implement and maintain data solutions in the enterprise data warehouse as well as departmental data marts; Support multiple BI solutions using the Microsoft suite of database technologies (i.e., SSIS, SSRS and/or SSAS) including the development of stored procedures and functions.
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In this role, you'll grow your technical expertise, apply best practices, and use tools, including Microsoft SQL, SSIS, such as SQL Server Integration Services, Microsoft Azure, and Oracle, to design databases, build data models, conduct ETL processes, design and manage data warehouse applications, and optimize cloud computing resources.
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Interfaces with Data Warehouse Manager and Data Management Director to ensure that data requirements are delivered and that the on-prem and cloud data warehouses are updated with all data required for reporting solutions.
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Experience in ETL processes and data warehouse design; including demonstrated success with one or more of the following: Kimball Methodology, Microsoft SQL Server, Snowflake, Azure Data Factory, Alteryx, SSIS, Azure Data Lake.
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The Data Engineer will have a background in data analysis, data analytics, data visualization, dashboards, KPIs & metrics reporting and will be proficient in SQL, SSIS, & SSRS. The candidate should have knowledge of structured and unstructured data concepts and tools, experience with OLAP tools, and the ability to code against APIs using Python for data extraction, transformation, and loading (ETL.
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Leveraging SQL, PL/SQL, T-SQL, SSIS, SSRS, SSAS, or other data tools to build innovative solutions that address business needs. Experience with Snowflake or other data warehouse solutions preferred.
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Evolve the Enterprise Data Warehouse by working with IT management to develop a strategic roadmap for Data Warehousing and BI. Design and develop ETL processes to support population of the Enterprise Data Warehouse and general data movement needs.
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Bachelor s degree in computer science, data science or a related field with eight (8) or more years of working as a data engineer, ETL developer and/or data warehouse DBA. within the data lake and enterprise data warehouse systems across all business segments.
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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You will be expected to work as part of our team of data warehouse engineers to architect, build, and maintain highly performant data models and data transformation processes in Snowflake to be used for operational reporting, dashboarding, analytics, and data science.
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