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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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5+ years in Data Warehousing, Big Data, or ETL development (preferably using AWS S3, Glue, Apache AirFlow) 4. Experience designing, building, and maintaining data processing and transformation pipelines (AWS Glue, Apache AirFlow, dbt, Snowflake) 6.
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Thoroughly understand secure application design principals, including the areas of authentication, authorization/least privilege, logging, encryption, data masking, data retention, and secure data transmission.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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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 in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Assist with data entry, data validation, and data corrections as needed to ensure accuracy and completeness of HR data. Manage user access, security roles, and permissions to ensure data integrity and compliance with regulatory requirements.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. Preparation of data for treatment planning systems Development/improvement of dose measurement systems and protocols and software for dosimetry purposes (including spreadsheets and databases.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure(big plus), AWS, OpenStack, etc. Minimum of 4+ years of experience with databases and data modeling / design (SQL and NoSQL.
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Keywords: Charlotte NC Jobs, Director, Financial Planning & Analysis, Business Intelligence, PowerBI, Enterprise Scale Dashboards, Reports, Scorecards, Data Sets, Statistical Models, Data Visualization, KPI, Key Performance Indicators, Restaurant Industry, North Carolina Recruiters, IT Jobs, North Carolina RecruitingLooking to hire for similar positions in Charlotte, NC or in other cities.
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JOB DESCRIPTION:ResponsibilitiesAdministrative Operations:Oversee that marketing materials are developed, processed, and distributed in a timely mannerMaintain corporate and franchise related marketing operations and trackers up to date daily, this includes but is not limited to the following: call tracking numbers, marketing collateral distribution, online listings validation, data entry to Driven Brands’ systems etc.
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Maintaining statistical models with a focus on big data. As a Data Scientist Intern at IBM, you’ll help transform clients’ data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development.
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Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R. Experience in Implementing tools and services in data security and data governance domains such as data modeling, data classification, data access control, data masking, data quality, metadata management, catalog, auditing, balancing, reconciliation, and data privacy compliance like GDPR & CCPA.
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big data jobs Company: Teksystems in Charlotte, NC
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