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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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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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Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Data Migration Strategy, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. Azure OpenAI, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Microsoft Fabric, Power BI, etc.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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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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As a Senior Software Development Engineer Big Data you will design, implement, and maintain robust, scalable data pipelines using GCP services like Dataflow, Pub/Sub, and BigQuery.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. 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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The Back of House Director is ultimately responsible for big-picture strategy, systems development, leadership development, and obtaining results in the Back of House. The Back of House Director is a champion of the Operator's vision and is skilled at casting that vision to their team.
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Data Scientist II, Department of NeurologyClinical Informatics and Natural Language Processing / Machine LearningWhy UT Southwestern Medical Center? A multi-year Data Scientist position is available in the Department of Neurology and the Clinical Informatics Center at UT Southwestern Medical Center.
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Support the Sustainability Manager in training the Sustainability Analyst on data tracking, benchmarking and analysis of utility data. This entails working with property teams daily on various aspects of ESG from data analysis to project evaluation.
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Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Data/Analytics: Splunk, Tableau, Power BI, Click. Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet.
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Expert level knowledge of white space fit-outs including rack, cage, electrical distribution, and data cable infrastructure, reading/interpreting construction plans, one-line drawings, and construction specifications and global data center construction practices, including mechanical, electrical and IT infrastructure.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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big data jobs Title: caregiver Company: Eagle Home Care in Dallas, TX
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