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Practical hands-on experience with data technologies and Cloud Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP, and Azure. Expertise in Data visualization tools such as Power BI, Tableau, and Looker.
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The Design Manager reports directly to the Group Engineering Manager of the Process and Utilities design goup and has a support responsibility to project managers and factories operations team.
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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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In-depth knowledge of SAP MM module, inventory management, and master data management. Oversee the creation, maintenance, and governance of relevant master data within SAP MM, ensuring data accuracy and consistency.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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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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Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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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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Applicants should have a BS degree or higher in disciplines such as acoustics, civil/structural engineering, mechanical engineering, or physics, with a MS degree preferred. The position will involve computer modeling for vibration and acoustics analyses, which could include finite element analysis (FEA) of structural systems, building acoustics modeling and ray tracing, and/or environmental noise modeling.
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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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Proficiency in Python and Scala for data engineering and scripting. Strong experience with the Hadoop Big Data Ecosystem: HDFS, Hive, Pig, HBase, YARN, and others. Job title: Lead Big Data Engineer (GCP Cloud.
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Strong Data Engineering skills. This may involve tasks like data normalization, feature engineering, and handling missing values. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Assemble and analyze Health, Environmental, Safety, Security, Process Safety, Product Stewardship, Medical and Compliance Assurance data to identify appropriate metrics, trends, and exceptions to compete at world class HES&S performance.
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6+ years of experience in analytics, data engineering, visualization, business intelligence, or analytical consulting. The Associate Director, Data Engineering (Hybrid Work Optimization) role is a strategic partner within the People Analytics Data Engineering team responsible for engaging with team members and key stakeholders to design, model and lead development of pipelines and subsequent data structures for the explicit intent of delivering better analytics insights for the hybrid work optimization, future of work, and related workforce analytics.
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data engineering jobs Title: intelligence Company: Publicis Groupe in Dallas, TX
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