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Design, develop, and deploy complex data flows, define new data management solutions and standards, create and maintain domain data product designs, and everything else involved in supplying high quality analytical data for cyber security use cases (threat analytics, governed metrics, cybersecurity data science) as well as report issues to engineering teams and product leadership appropriately.
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3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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This engineer will be responsible for Data Protection, Data Loss Prevention (DLP) and related technologies. Within EFT we are seeking a Principal Engineer to join our Data Protection Engineering team.
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Sr. Big Data Engineer. Big Data management practices, Microsoft SQL Server / SSIS development, PySpark, Scala Spark, Drive the implementation and adoption of quality engineering practices and automated quality assurance solutions across the data engineering community.
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Position Summary:This individual in Cloud Data Platform Engineer Lead role is responsible for tool and service designs within a technical domain that enable business strategies in accordance with architectural governance, standards, and policies.
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Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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We are looking for an experienced mask data prep engineer who enjoys working in a small team environment. Provide training to MCHP Mask Data Prep team on the proper use of the Calibre based OPC flow and scripts.
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As a Senior Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for our product.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data Engineering: Covers jobs which develop database architectures to address business needs, ensuring system security, performance and reliability. Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change.
$69 - $69.13 an hourExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Passion for staying up-to-date with the latest trends and best practices in data engineering, machine learning, and related technologies, including proficiency with tools like dbt. Deep knowledge of database best practices, including security, architecture, data governance, optimization, and seamless integration with Python codebases.
$70,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Minimum 3+ years of Cloud Data Engineer working experience. Implementation expertise in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks.
$63.68 - $71.68 an hourExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Sr Lead Analytics Data Engineer. Strong data engineering Skills (ETL/ELT and data engineering tasks across multiple data sources). Advise experienced leadership to develop or influence statistical modeling, analytical strategies, and advanced data visualization for complex business and technical needs.
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These positions on the Business to Business Hosting team are needed to support the data analysis, planning, 3rd Party contact communication and co-ordination activities for the migration of connections to the SNI locations from the legacy data centers.
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Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques, advance data from multiple sources, and mathematics behind data analysis across the enterprise, delivering solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical, and coordination of highly complex activities.
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