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Hands-on experience building and delivering Enterprise Data SolutionsExtensive market knowledge and experience with cutting edge Data, Analytics, Data Science, ML and AI technologiesExtensive professional experience with ETL, BI & Data AnalyticsExtensive professional experience with Big Data systems, data pipelines and data processingDeep expertise in Data Architecture, Data Modeling, and task estimations.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Proficient in programming languages such as Java, PHP, Node.js or Golang with experience in developing scalable and highly available systems.
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This role is focused on data engineering to build and deliver automated data pipelines to and from various data sources, primarily iSeries to and from Microsoft Dynamics 365.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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A thorough understanding of and experience utilizing systems engineering protocols and concepts - DNS, DHCP, ADFS, Modern Auth. and similar or related technologies. Knowledge of and experience engineering various operating systems and protocols across both Windows and Linux platforms including but not limited to: Windows Server 2019, 2018, 2016, 2012.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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10+ years of experience in Systems Engineering, Administration, and Architecture. Provide oversight of the design, maintenance and enhancement of best-in-class Atlassian technologies and governance policies in line with the goals of SiriusXM. This leader will also identify and evaluate opportunities for new technologies, like cloud platform and AI, as well as partner with internal business users to identify needs around reporting, custom integrations, and other development needs.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in utilizing GCP Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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You have a bachelor's degree in an engineering discipline and have a minimum of five (5) years automation and control systems engineering experience required, preferably in CPG beverage/food manufacturing.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Bachelor's or Master's degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor's degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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You must be passionate about data engineering and data quality with a solid background in AWS, Databricks, Python, Trino/Starburst and SQL. Minimum of 3 years of experience in data engineering roles, with a focus on AWS and Databricks.
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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The contract shall ensure all project data is maintained in systems of record including SharePoint, SAP, FITT, WMS and TRIRIGA. Tracks and reports progress of alterations, construction, quality of work and materials for each Project, and will validate conformity with project drawings, specifications, and good practices.
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big data engineering business systems jobs Company: Amazon Web Services Aws in Irving, TX
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