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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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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles. 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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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Extract data from Teradata and Google BigQuery, creating derived datasets for KPI monitoring. Experience with pulling data from data warehouses like Teradata and BigQuery. The ideal candidate will extract and process data from Teradata, Google BigQuery, and other databases, delivering actionable insights.
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Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks and DBT Labs. The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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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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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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High proficiency with Microsoft Excel, PowerPoint and Word with ability to quickly learn new systems - performance reporting, data/transaction aggregation, data analytics, CRM. Progress towards CFA, CFP, CIMA, CAIA or CTFA preferred.
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Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. You will be a key quality leader for site activities including data automation, statistical analysis, problem solving, action plans, RFCs, and preventative actions to reduce/eliminate risk to customer’s product performance.
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big data jobs Company: Hilti in Dallas, TX
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