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Data Security : Apply database security principles and best practices to ensure data confidentiality, integrity, and availability. Database Design : Design, implement, and maintain databases to ensure data integrity, availability, and security.
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Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
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Synergy is seeking an experienced Database Engineer provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis.
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TSYS is seeking Database Engineers to join our PRIME Data Engineering team, who will innovate and engineer solutions in the area of database technology. The Data Engineering team is actively engaged in the ongoing PRIME database engineering process, partnering with the PRIME development groups and providing deep subject matter expertise input as stakeholders to design reviews, and as an advocate for bringing forward and resolving customer issues.
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Using a CAFM database system, they interact with various contacts to process updates of space and people data, perform and capture audits, and participate in data governance programs.
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Bachelor's Degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related\/relevant degree AND minimum of 2 years of experience as a Data Engineer, Integration Developer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and\/or Database Administrator preferred.
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The Database Engineer will provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. Support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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Technical data engineer focused on supporting hardware and software solutions including the application and database layers within engineering, manufacturing, and operational areas. Manages Engineering, Management and Operations (EM&O) systems data standardization and integration with other systems (e.g. ERP, PLM, Quality and Customer Service) and repositories (e.g. SQL, DB, Azure, AWS.
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Experience with other data integration platforms (e.g. Workato, SSIS, Mulesoft, Orchestrator) desired. Implements and manages data integration from manufacturing floor end points to other systems (such as ERP, PLM, Quality, Customer Service) and repositories (such as SQL DB, Azure, AWS.
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Preference for experience in one or more emerging big data technologies such as Hadoop, Cassandra, MongoDB and associated data integration tools like Kafka and Nifi. Experience with data visualization platforms like Microsoft Power BI or Tableau is also a plus.
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Fox Cable Network Services, LLC seeks a Database Architect (Senior Data Engineer) to be a part of FOX's Data Services Management team, responsible for envisioning, implementing, and evangelizing new features, pipelines, and platforms that not only deliver data but insight.
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Understanding of data modeling/visualization, database design principles, and data governance practices. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
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Responsible for architecting, designing, and implementing modern data platform solutions leveraging Azure-based technologies, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.
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Experience with Azure data technologies such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Databricks. Leverage Azure Synapse Analytics, Azure SQL Database, Azure Databricks, and other Azure-based data services to deliver insightful analytics and data solutions.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Assist in data modeling, schema design, and database optimization.
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