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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Strong Data Engineering skills. This may involve tasks like data normalization, feature engineering, and handling missing values.
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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, Google Cloud Platform and Azure. Extensive professional experience with Big Data systems, data pipelines and data processing.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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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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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. The Quality Assurance Manager will be part of the Quality Assurance group and provide day to day Quality Engineering leadership at the EMD Electronics Dallas, TX site.
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At least 5 years experience performing Electrical engineering design for Industrial facilities (which could include Chemical plants, Mining/Mineral Processing, Power, Water/Wastewater, Processing plants, Advanced manufacturing plants, data centers, EV Battery.
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Analyze data and identify trends and key findings in both qualitative and quantitative data sets from various systems, including Yardi, the Company's internal Enterprise Data Warehouse, Anaplan, Salesforce, ADP, and various other systems.
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Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, Document AI, Agent Builder, DataProc, Data Catalog, Notebook. Knowledge and understanding of Cloud service offerings such as Data, Analytics, AI/ML on GCP.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Create standardized mapping and data products to support business units Perform GIS data input using coordinate geometry, GPS data conversion and file translations from disparate sources Experience with GPS data collection process; field data collection methods, survey techniques and knowledge of accuracy standards.
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NET, JavaScript, Angular, Typescript, SQL Server, Azure SQL, Azure DevOps, Azure Data Factory (ADF), SSIS, Azure Databricks, Delta Lake, Azure Service Bus, Octopus, and MicroStrategy. You will work closely with the Service Line Leader, Business Technology Product Owner (BTPO), subject matter experts, UX designers, Product Strategy Management (PSM), Enterprise Architects (EA), Quality Analysts (QA), Support, Operations, and Development Operations, you will ensure products meet compliance standards and follow sound engineering practices.
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The Data Engineer is responsible for leading our Data Engineering efforts for Indiana Eligibility project. - 3+ years of experience in a technical role engineering data and/or analytics solutions.
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big data engineering warehouse jobs in Irving, TX
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