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Big Data Platforms: Experience with Databricks for big data processing and analytics. Preferred Qualifications:Certifications: AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.
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Work with big data repositories like SnowFlake, Data Lake and streaming data. 5+ years of experience with event-based data movement, Spark, and Big Data repositories (including Snowflake, data lakes.
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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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Familiar with Informatica Axon, Enterprise Data Catalog (EDC) for data discovery and classification. Our team provides application administration and configuration support of data centric platforms and tools such as Informatica (PowerCenter, AXON, IDQ, EDC), Matillion, Fivetran HRV and Scheduling tools.
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The Virginia Department of Transportation (VDOT) Business Integrated Solutions Division (BISD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Business Analysis and Testing Support team.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Apply modern data stack experience and analytics engineering best practices to existing and new project builds. Develop, manage, and document project-specific analytic datasets and analytics data marts.
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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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Expert hands-on knowledge of BPC embedded, HANA modelling, SAP Datasphere (Data Warehouse Cloud – DWC), ABAP, and Fox coding. Oversee the design of the data architecture and the technical architecture for the old-fashion and modern data platforms, including data acquisition and integration, data modelling, transformation and quality processes, master data management, data warehousing and data marts, data lakehouse, data fabric and data mesh.
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Experience with at least 1 non-SQL database, master data management and taxonomic classification of data. We're seeking a Sr. Business Intelligence Engineer with a strong background in data operations & BI reporting and a passion for data quality and process improvement.
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Advanced knowledge of SQL required (Snowflake, MS Access, Teradata, SQL Server, Oracle SQL, Google Big Query) required. Lead technical aspects of data migration and/or cutover activities; serve as a point person for system upgrades and implementations.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Process Control Network - Demonstrated competency in administering a real-time data historian to sustain system performance and manage the ecosystem of applications that make real-time data more accessible and visible (examples: Aveva/OSI Soft PI, PI Visions, PI Asset Framework.
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big data jobs Title: manager project in Richmond, IN, Alabama
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