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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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Technical Environment: SSIS, SSAS; SSRS; SSMS; SQL for data extraction, manipulation, and reporting; SQL DB, create complex queries and stored procedures; agile environment; Tableau, Crystal Reports, Microsoft Power BI; all areas of development including analysis, design, development, support, structured programming.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. 7+ years of Proficiency in ETL with Microsoft Business Intelligence (SSIS, SSRS) and other tools.
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Experience with Master Data Management platforms and tools such as Informatica MDM, C360, Reltio, Profisee, Semarchy. The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
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Anyone of the following certifications in SSIS, SSRS and Azure (e.g., MS Azure Developer, MS Azure Engineer, MS SQL Server Reporting, MS Azure Data Fundamentals) or a willingness to complete the certifications in the first year of employment Upon Hire.
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Experience with ETL tools such as SSIS, Informatica, Astronomer, DBT, or DataStage. Experience with ETL tools such as SSIS, Informatica, Astronomer, DBT, or DataStage. Experience with data visualization tools such as Tableau, Power BI, or QlikView.
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NET/SQL Server, SSIS/SSRS, MS Dynamics, Power BI), Tableau, and Snowflake. Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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A minimum of two years’ experience in providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, master data management, data quality, data integration.
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Evaluate/Troubleshoot system performance and make technical recommendations to resolve any performance issues related to SSRS, ETL, creating SSIS packages, deploying SSIS Packages, Power BI Gateways, Power BI Report Refreshes and BI solutions.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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A minimum of five years' experience in providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, master data management, data quality, data integration.
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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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