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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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At least 1 year Law Enforcement, Adult Education/Police Instructor, Crime/Data Analytics, Justice Information Systems or Learning Management Systems. 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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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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Keywords : ("data steward" OR "Data custodian" OR "Data guardian" OR "data lead" OR "engineering data lead" OR "data champion" OR "data specialist" OR "data owner" OR "data engineering lead" OR "data analytics lead") AND "data model" AND "databricks" AND "python" AND "data integration" AND ("metadata management" OR "MDM") AND "airflow.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Support Design Pipelines: Inform the generation of data and designs in the upstream pipeline and assist the transition of ML models from development to deployment in the downstream pipeline. We are seeking a highly skilled and innovative Staff Data Scientist with a background in physics or a related field.
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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Data gathering, manipulation, and analysis.
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O Big Data: Hadoop. Cloudera Data Platform (CDP), CDS, Kubernetes & Docker services. Work experience on Cloudera Data Platform (CDP) and good knowledge on data migration from Hortonworks (on-prem)/MapR to CDP (public/private) Cloud.
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Data Migration: Oversee the migration of data from legacy systems into Acumatica, including projects, contracts, budgets, schedules, and other construction-related data. Experience with other ERPs or construction management software like Procore, Sage 300, or Viewpoint.
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Lead the end-to-end design of cloud-based data platforms leveraging Azure services (ADLS, ADF, Databricks) and MuleSoft integration for data flow orchestration and API management. Leverage Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Databricks to build scalable, high-performance data pipelines and transformation solutions.
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Implement concepts of Big Data(Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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Complete entry of employee master data in JD Edwards (JDE) and Dayforce in accordance with the Payroll Processing calendar. The Senior Payroll Administrator accurately maintains employee master data, accurately processes all union rates, payments, reports, and audits, and ensures compliance with all Federal, State, and Local regulations, prevailing wage requirements, and union contacts as well as company policies, procedures, and internal controls.
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Hands-on experience with big data technologies such as Kafka, Spark, HDFS, HBase, Flink, DBT, SQLMesh, etc. Build and manage data ingestion frameworks using big data technologies, ensuring high efficiency and reliability.
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big data jobs Company: Qualcomm in Dallas, TX
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