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1+ Managing a cloud-based data environment that has complex platform integration and orchestration using tools like AWS, Airflow, Talend, RedShift, or similar. 1+ Experience as data engineering resource on BI/Integration teams.
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The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica PowerCenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques. Works with other team members and business stakeholders on complex projects and tasks to drive development of business analytics requirements and synthesize these into data integration and enterprise data access requirements that communicate a coherent message.
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The candidate will work on a team with members that have a deep understanding of various marketing automation tools and modules, including Salesforce Marketing Cloud Engagement (ExactTarget), Salesforce Intelligence (Datorama), Salesforce Personalization (Interaction Studio), Salesforce Data Cloud, Adobe Experience Manager (AEM) Digital Asset and Content Management, and integration of AEM with Salesforce Marketing Cloud.
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As a Senior Generative AI Data Engineer, you will be responsible for managing and optimizing the company's data infrastructure and architecture, designing and implementing data pipelines, developing data models, performing data integration, and ensuring data quality and governance for GenAI solutions.
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Strong understanding of computer science and software engineering fundamentals, especially data engineering and infrastructures, ETL processes, data integration, and database design.
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Ensures integration of the project logical data model into the enterprise conceptual data model. Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings.
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Must be proficient with multiple data engineering and integration tools such as Scala, Python, Spark, Snowflake, Redshift etc. Analytica is seeking a remote Data Engineer. Additionally, the Data Engineer will integrate, test data pipelines with Advance Analytics and AI platforms.
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Working with Integration Architect, develop, test and deploy the data pipelines.
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As a Data Integration Engineer, you will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient extraction, transformation, and loading of data from various sources into our data warehouse.
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Topgolf is seeking a Data Engineer to help drive their mission for advanced insights by building best-in-class data. Builds the Application integration and data integration approaches of applications.
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3+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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As a Silicon Photonics (SiP) Process Integration Engineer, you will be part of Intel's SiP Process Development and Manufacturing (SPDM) team that is leading Intel's market transition and driving innovation for the next generation of optical interconnect products.
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Design and test of analog/mixed-signal integrated circuits including data converters, signal generation and signal processing circuits, and RF/ microwave electronics. Understanding of circuit design techniques, semiconductor device physics, signal processing, RF/ microwave engineering, or measurement techniques for high-bandwidth and high fidelity analog signals.
Starting at $128,900 - $157,900 (bonuses)ExpandApply NowActive JobUpdated Today
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