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Exposure to Big Data managed services such as Azure HDInsight, Databricks, Azure Kubernetes Service and AWS EMR. Exposure to managed AI/ML services such as AWS SageMaker/Azure Machine Learning to derive predictive analytical models.
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Role description: This role is a unique chance to workwithin Arcadis Intelligences Solution Architecting, Systems & Data group, providing services including Data Migration and Integration, Data Warehousing, Master Data Management, Big Data and Analytics, Software, API and Service development capabilities within our multi-discipline solutions delivery teams.
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Hands-on experience with Spark or ScalaGood experience in end-to-end implementation of data warehouse and data martsPreferred Qualifications: Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Manage and influence the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading and initial exploration in the process of searching and finding data patterns.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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Use Big Data technologies such as Kafka, Snowflake and related technologies to store, curate, process and publish datasets for consumption by downstream business users and applications. (2) Migrating data from various sources including Teradata, Oracle, SQL Server, and Salesforce using Azure Data Factory and Azure Databricks onto Snowflake.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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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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Big Creek Dam offers beautiful, scenic waterfall views, while East Roswell Park features fishing, hiking and cycling options. Roswell puts on a number of annual productions that are big draws in the region, including a large memorial day ceremony, a storytelling festival, and a fireworks extravaganza.
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As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities and pipelines on some of the most mission-driven projects in the DoD. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
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O Experience with ecommerce/retail/supply chain data modeling is a big plus. o Strong experience with GCP o Experience with Big Query, Looker Studio o Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and SQL databases (e.g., PostgreSQL, MySQL.
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big data jobs Company: Wendy's in OK, Hawaii
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