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6 years of experience working in enterprise data warehouse solutions and platforms, and working knowledge of different databases (e.g., SQL & NoSQL), S3 Datalake, CICD, Jenkins and AWS cloud technologies.
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Execute all data loading operations for Staging, data warehouse and statistical datamart processes in the UNIX, database and Informatica environments. Experience using business intelligence tools (e.g. Power BI, Tableau) to develop interactive data visualizations (e.g. charts, graphs.
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Develop and test ETL processes that populate the Enterprise Data Warehouse data marts using SQL (T-SQL, PL-SQL) or Informatica. Our team provides the technical services required to sustain EDW applications to include Project Management, Data Warehouse Management, Advanced Analytics, Tableau Server Administration/Tableau Desktop Administration, Technical Collaboration Support, Lessons Learned, Executive Orders and Special Projects, Architectural Enhancement, and Cloud Migration.
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
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Some experiences in Snowflake database administration Job involves, profiling, creating, advising and reviewing data models for our data warehouse atomic as well as data mart areas.
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The DevOps/SRE Engineer will be a member of the Data Services team, which supports the enterprise customer data warehouse solution. Will need to put into informatica, snowflake side on a manual basis.
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Work with Data Modeler to develop data warehouse models, design specifications, metadata process and documentation•Utilize the Informatica ETL application and analyze data necessary to resolve issues uncovered and related to source data.
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Use Informatica Mapping Designer to create/update mapping using different transformations required to move data into data warehouse. Provide data modeling design, analysis, and implementation, including conceptual, logical, and physical Data modeling, Data conversion, Data integration, and Data mining specialization in Data Warehouse and Business Intelligence.
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Develop ETLs using Informatica to facilitate Extraction Transformation and Data Load from Online Transaction Processing (OLTP) systems to Online Analytical Processing (OLAP) systems. Professional Certifications n/a Years of Professional Experience 5+ years' experience in ETL tools, especially Informatica and data warehousing applications.
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As a Senior ETL Developer, you will be responsible for designing, developing, testing, and maintaining our Extract, Transform, Load (ETL) processes that integrate data from various sources into our insurance data warehouse.
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JOB DESCRIPTION: Programmer Analyst The successful candidate will be a part of the team that is responsible for Enterprise Data Warehouse. The candidate develops deep knowledge and understanding of the data warehouse and data management assets available within our data platforms and act as the subject matter expert on the data and its utility for operational use.
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Strong Knowledge of Data Warehouses/Lakehouse architectures, Master Data Management, Data Quality Management, Data Integration, and Data Warehouse architecture.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BL technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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The Sr. Programmer Analyst - Enterprise Data Warehouse/Business Intelligence will provide technical expertise in designing and implementing data integrations for data warehouse/business intelligence solutions leveraging Extract, Transform and Load (ETL/ELT) tools such as Informatica.
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Provide recommendations and identifying critical issues and process faults as they pertain to data modeling, ETLs, and Informatica. Prior experience in a federal data warehouse and understanding of government procedures and regulations.
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