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Utilize advanced SQL, Python, Spark, and Databricks for data modeling and transformation. Lead the team in data warehousing design, data quality processes, and performance tuning of SQL and Spark queries.
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Worldpay Cloud Data Platform team provides WorldPay Big Data capabilities including large scale data processing, analytics, fraud platforms, machine learning engineering, stream processing and data insights.
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Experience with cloud migration methodologies and tools like Databricks, Azure Data Factory, and Azure Functions. Oversee cloud migration processes using tools like Databricks, Azure Data Factory, Azure Functions, and other Azure data services.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Experience working with multi-Terabyte data sets, troubleshooting issues, performance tuning of Spark and SQL queries. Experience working on cloud migration methodologies and processes including tools like Databricks, Azure Data Factory, Azure Functions, and other Azure data services.
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Design and architect scalable data pipelines and ETL processes with tools like Snowflake, Fivetran, DAGs (Directed Acyclic Graphs), Airflow, and Astronomer. Integrate Data Literacy into data deliverables in partnership with analytics director.
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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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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Minimum 5 years of experience as a Data Engineer, with a focus on Snowflake, IDMC, and Airflow. We are seeking an accomplished Senior Data Engineer to join our Data Engineering & Data Warehouse team.
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Experience on big data technologies and tools (e.g., Hadoop, Spark). Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience.
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The Roles: Petitioner, Canvass Manager, Project Manager, Data Manager, Canvasser, Voter Registrar, Phone Banker/Texter, Campaign Team Lead, Senior Campaign Manager, Chief Operating Officer, Senior Data Manager, Senior Data Engineering Manager, and Senior Project Manager.
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Microsoft Dynamics Finance & Operations, Dynamics F&O, Microsoft Finance and Supply Chain Management, Microsoft F&SCM, Microsoft Dynamics 365, Dynamics 365 CRM, Microsoft Customer Experience Platform, Business Analyst, BA, Enterprise Tester, Requirements Gathering, User Experience, User Enablement, Data Visualization, Software, Definition, Custom Applications, Data Analytics, Cloud Strategy, SharePoint, Office 365, O365, SFDC, D365, Acumatica, NetSuite.
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Remittance and Invoice Processing: Receive, sort, prepare, and process remittances and invoice data. Cross-Training: Cross-train in other functional areas to ensure coverage in critical department functions, such as mail sorting, keying, reassociation, and data entry.
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BIG NIL Inc provides officially licensed print-on-demand apparel and merchandise products for student-athlete and school brands under the NIL. Through NIL policies, student-athletes may monetize their personal brand and endorsements while participating in sports.
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Remote Work From Home Data Entry Clerk for Entry Level Position. You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Remote Work From Home Data Entry Clerk for Entry Level Position.
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big data spark jobs in Cincinnati, West-columbia, South Carolina
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