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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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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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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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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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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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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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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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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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Experience in Big Data/Data Warehousing at scale- Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR.
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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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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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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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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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One or more of the following credentials or certifications is required: CPA License, Levels 1 & 2 of the CFA exam, JD, PhD, MBA or Master’s degree in Accounting, Finance, Tax, Quantitative Statistics, Engineering, Corporate Engineering, Information Systems, Financial Engineering, Economics, Real Estate Finance or Hospitality, Enrolled Agent (EA), State Certified Appraiser License.
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Working together, and differentiated by our superior data, analytics and data-enabled solutions, we empower our clients to make smarter business decisions through data-driven insights.
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big data engineering business systems jobs Company: Amazon Web Services Aws in Dallas, TX
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