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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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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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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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Hands-on experience with data fabric solutions (e.g., Apache Hudi, Databricks Delta, Denodo, etc.) , data governance tools, data quality tools, and data visualization tools (e.g., Tableau, Power BI.
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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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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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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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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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You have experience with database development using Big Data/Cloud technology (AWS, Azure, GCP) Minimum of 2 implementations with SAP HANA SQL and/or SAP S/4 HANA with SAP/Big Data warehouse solution.
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In addition, provide customer-focused service and provide support to patient flow in a unit or department to include: 1) patient registration, 2) patient scheduling, 3) patient billing, 4) pre-certification (collect insurance information; receipt of co-pays or bill payments), 5) medical records retrieval, release, or collection, and 6) data entry.
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Its many popular brands include Red Baron, Tony's, Big Daddy'sTM, Villa Prima, and Freschetta pizza; Mrs. Smith's and Edwards desserts; Bibigo, and Pagoda Asian-style snacks. Apply various reliability principles such as Asset Strategy Improvement (ASI), Operating Envelope (OE), Failure Modes Effects Analysis (FMEA), Root Cause Analysis (RCA), Motor Circuit Analysis, various infrared thermography routes, structure and air bourn ultrasound routes, motor testing, vibration analysis, oil analysis, precision lubrication, and precision alignment.
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Applied knowledge of technologies for data mapping, risk assessments, third party risk management, compliance tracking, security controls management. Participates in engagements for PCI, data security, compliance and governance frameworks, security vendor assessments and IT controls assessments.
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