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Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks.
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Experience working with data warehouse tools (Snowflake, Databricks, Redshift etc.) Validate data sources, extraction, transformation logic and upload of data into target tables ( ETL pipelines.
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4+ years of Azure Tooling experience for Cloud Migration and developing Data Warehouse. This specialty insurance company is seeking a highly skilled and experienced Lead Data Engineer to join our dynamic team.
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Maintain and enhance Snowflake data warehouse to enable Insights and Reporting Teams. bi data engineer. Ensure compliance with the latest data standards supported by the company, and brand, legal, information security (data security and privacy compliance.
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. Build data expertise on subject matter and be able to speak to data warehouse constructs and data architecture.
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Knowledge : Experience of application like SAP, OFSAA, Hyperion, Anaplan and various data warehouse business applications will be beneficial for support. Experience in Data warehouse methodologies like chart field/dimension maintenance and Management reporting is a plus.
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Design and implement ETL processes for data transactions related to Enterprise Data Warehouse, Operational Data Store (ODS), and other data structures to support our Business Intelligence operations.
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Assists with billable engagements as required to help with data acquisition, extraction, transformation and loading into the data warehouse. Participates in engagement close activities including setting up model for client subscription, cleansing of data for benchmark warehouse and capture and adaptation of models used on the engagement.
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Implement and maintain data warehouse and database systems for efficient data storage, retrieval, and analysis using Snowflake. Determine best point for transformations, calculations, and joins (e.g. data lake, data warehouse, or Tableau data source.
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7+ plus years of experience in solutioning data pipeline for largeenterprise data Warehouse applications using Azure Data Factory, Databricks, Data Ingestion, Data Transformation /Computation, Orchestration,Reporting & Data Analytics.
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Collaborate with Data Architects to define the Data Warehouse strategy and ensure actionable business intelligence is provided to key stakeholders and Business Intelligence teams.
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The Data Warehouse Engineer collaborates with cross-functional teams to deliver data solutions that support Business Intelligence and analytics, ensuring data is accurate, timely, and easily accessible.
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As a data warehouse engineer, you will build scalable tools on top of Reddit's petabyte-scale warehouse to support all data customers of Reddit. Data Warehouse Engineer.
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Join this team as a Lead Data Warehouse Engineer and contribute to building innovative solutions that empower our clients towards financial freedom! As the Lead Data Warehouse Engineer, you'll play a pivotal role in defining best practices and standards within their data warehouse environment.
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Our Data Engineers are responsible for data services, including ETL pipeline implementation, data warehouse architecture, data quality automation, and analytic visualization.
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data warehouse jobs Title: data engineer in Chicago, Moapa, Nevada
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