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Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Perform tasks required to validate month-end closing entries for storage, validating data entry in ETRM system. The Sr. Back Office Analyst will be responsible for a variety of activities related to physical and financial natural gas trading, including settlement of natural gas commodity invoices, natural gas pipeline and exchange statements, payment processing, reconciliations, trade confirmations, and reconciliation of data to ETRM system.
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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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Prior experience with Analog, Digital, and Power electrical schematic entry and printed circuit board layout tools such as Altium Designer. Prior experience with data acquisition systems (especially National Instruments) and LabVIEW code development.
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Performs data entry utilizing Elekta (Mosaiq) software. Maintains the quality and integrity of the data base, and ensures departments compliance of all internal and external policy, regulations and procedures.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, DBT, AWS Services Lambda, SNS, SQS, Event Bridge, and IoT core.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and image analysis. The Chung Lab has an additional role in supporting the Tumor Measurement Initiative (TMI) aims to build an institutional platform to support standardized, automated, quantitative imaging-based tumor measurement across each patient's journey to advance multidisciplinary, data-driven, high precision cancer treatment.
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As a key member of our data engineering team, you will work with cutting-edge technologies such as Apache Spark, Hadoop, Kafka, and cloud services from AWS and Azure. Utilize ETL tools and frameworks like Apache Airflow or Talend to automate data workflows, ensuring timely and efficient data integration across the organization.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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Design, build, and maintain efficient data pipelines using Spark, Python, and Databricks. Assist in migrating data from Omni-AI to Databricks, ensuring accuracy and consistency throughout the process.
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Lead Data Governance Initiatives: Drive initiatives related to Master Data Management, Data Security, Data Quality, Data Retention, and Data Definitions and cataloging.
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Experience with AWS services including EC2, S3, Glue, EMR, RDS, Snowflake, Elastic Search, Cassandra and Data pipeline/streaming tools (Airflow, NiFi, Kafka). You must have hands-on experience developing large-scale distributed, fault tolerant and scalable data processing systems capable of processing terabytes of structured and unstructured data via batch with Spark, or streaming with Flink or Kafka Streams.
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data entry jobs Title: marketing Company: Lennar in Houston, TX
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