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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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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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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka) Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic/Required Qualifications: •5 + years of experience (Proficient) of programming languages for statistical and ML modeling – Python/R, experience •5+ years with Spark and big data/cloud platform (AWS, Azure) within big data analytics •Hands on in AWS to include Amazon Athena and AWS Batch.
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Experience in data storage (ADL/S3) and big data processing (Kafka, Hive, Databricks, etc.) Proficiency in ETL/ELT, data acquisition and ingestion, data integration, and CDC tools such as Informatica, Talend, CloverDX, DBT, Qlik Replicate or others.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Additional experience and skills will be considered such as Pre-engineered Metal Building, Equipment Installation, Tilt Wall, Big Box Retail, ASRS Facility, Insulated Metal Panel, and other Heavy Industrial and Manufacturing experience.
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Minimum of 3 end-to-end SAP Master Data Governance implementations. Minimum 7 years of experience with/in SAP Master Data Governance. Accenture's SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Experience with scripting language such as: R, Python, or Java. Big Data/Hadoop/Spark experience. Leverage data visualization and dash boarding to support operational monitoring, track operational activities and identify outcome variances and anomalies.
$82,000 - $118,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience (or willingness) working in the weeds with data using tools such as Microsoft Excel, Google Analytics, Data Studio, Tableau, Google Cloud Projects/Big Query, Google Search Console, SQL, and other common reporting platforms.
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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.
$101,231 - $172,355 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge and/or experience working within the Elastic, Hadoop, Teradata, or other big data distributed ecosystem. Knowledge of performance tuning data intensive applications. Note- We are looking for an experienced MuleSoft Developer with Java. You can work out of Charlotte, NC on a hybrid schedule (3 days/week in office.
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O Big Data experience - prefer Hadoop with PIG or Hive. o Deep understanding of Market Data including Aggregated, Consolidated and Montage books. o Tick Database and Market data streaming understanding.
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Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies.
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Coordinate with other Front Line Units and Control Functions (FLU/CFs) Data Strategy and Management teams to streamline the Data Sourcing Strategy for Risk Organization. + Evaluate and Recommend tools and frameworks for various data management capabilities (i.e., Metadata, Lineage, Data Quality, Data Protection.
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big data jobs in Charlotte, NC
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