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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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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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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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Building near real-time data pipelines a plus Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus Excellent written and verbal communications skills Strong interpersonal skills- ability to communicate with all levels of customers, vendors, and IT resources Tenet Healthcare/USPI complies with federal, state, and/or local laws regarding mandatory vaccination of its workforce.
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FPGAs, analog circuitry, audio/video data compression and encryption, 803.3 fiber optic-basednetworks, 802.11 wireless networks, and LED lighting systems. Utilize the full electrical design cycle: concept, design, schematic capture, PCB layout, testing, system integration, and manufacturing release.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. This Data Integration/ETL Engineer will be working closely with a diverse team from different departments and functions, spanning locations in both Dallas and India.
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Support the Integration of various technologies to enable demonstrations of Digital Thread use cases, including: Product Lifecycle Management (PLM) Data Processing Platforms Requirements Management & Analysis Model Integration Hub Collaborative Ontology Editors Semantic Graph Application Platforms Semantic Graph Databases Simulation Lifecycle Management (SLM.
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Design business intelligence reports, interactive dashboards and KPI scorecards using Power BI. Use data architecture, data management, data integration, Snowflake Data Cloud, Azure, AWS, DBT, Airflow, Spark, Snowpark, and Python.
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Qualifications 4+ years of full stack application development experience using Java, J2EE, Spring boot, Spring cloud, Spring Data JPA, Spring Integration, ReactJS/Angular, Node.js. 2+ years of experience developing with large microservice-based architectures, container orchestration frameworks: Kubernetes/Amazon EKS/ Azure AKS. 2+ years of strong work experience in message streaming platform like Kafka, Rabbit MQ. Experience in CI/CD DevOps - Jenkins/Docker/Ansible/Maven/Ant. Ability to understand business requirements and translate them into technical requirements.
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Responsible for developing and implementing microservices using Java and Spring Boot and writing efficient, and maintainable code to implement business logic, data processing, and integration with other microservices or components.
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Work with microprocessors/microcontrollers, FPGAs, analog circuitry, audio/video data compression and encryption, 803.3 fiber optic-based networks, 802.11 wireless networks, and LED lighting systems.
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Areas of responsibility include enterprise reporting tools including, but not limited to Crystal Reports, Tableau Desktop and Server, Cognos Analytics, spatial analytics tools and enterprise data integration tools including, but not limited to Dell Boomi and IBM DataStage.
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Experience working with cloud based data platforms, data integration and governance framework with one of the three cloud technologies (Azure, AWS, or GCP) Your expertise will be critical in guiding the full IT data lifecycle governance , including acquisition, transformation, classification, storage, presentation, distribution, security, privacy, and archiving to ensure data is accurate, complete and secure.
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Work with engineering, security and privacy teams to design and maintain Google Cloud infrastructure components to support complex data governance and Access On-Demand frameworks, including GCP IAM permissions, OKTA Integration, and VPC Service control perimeters.
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Proficiency in SQL based data discovery, data conversion and advanced reporting techniques such as dashboarding and storytelling. Adheres to all tenets of DART Data Governance and Security, ensures that end user analysts do the same.
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data integration engineer jobs in Dallas, TX
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