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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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Under general supervision is responsible for the collection, coordination, processing and quality control of clinical trial data, maintaining research protocol and other research files as applicable.
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Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc) Engagements vary from being purely consultative to requiring heavy hands-on work, and cover a diverse array of domain areas, such as data migrations, data archival and disaster recovery, and big data analytics solutions requiring a combination of batch or streaming data pipelines, data lakes and data warehouses.
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If so, Apple's Global Business Intelligence (GBI) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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Data Requests: Identifies, leads, plans, and oversees the development and execution of programming and procedures using SAS, SQL, Excel/Visual Basic, PowerBI, and Smartsheet to complete data requests related to the Division of School Improvement and Instructional Leadership Divisions, including state and federal reporting, ensuring accuracy and implementing quality control measures.
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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.
$107,659 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Provides solutions to efficiently access data quality and translate the data to meaningful information to assess performance at sites under O & M agreements with Origis Services. The ideal candidate, reporting to our Director- Performance Engineering will oversee the compilation and extraction of data from our various Solar PV and Battery Storage site monitoring platforms, and assist in the creation of reports, visualization tools, graphs, etc.
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Position Overview: We are looking for a proficient Data Analyst with experience in SQL, Microsoft Power BI, eClinicalWorks, and IBM Cognos to join our dynamic team. Utilize eClinicalWorks to integrate and analyze electronic health records (EHR) data, ensuring compliance with healthcare regulations.
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As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
Starting at $20 an hourWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team. Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLflow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
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5 years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
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Reporting to the Data Analytics Manager, the Geospatial Analyst II will familiarize themselves with all aspects of technology and field operations at SeekOps. The role involves local and cloud-based data management, diagnosing and resolving data quality issues, data processing and analysis, and report development.
$70,000 - $82,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with data governance as a practice, including enterprise data management, data quality, data lineage, meta data management, data methodologies, data analytics and reporting, and the ethical use of data and artificial intelligence (AI.
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5 years of key skill set: Azure data services, Databricks, Snowflake, Modern data platforms, AI/ML, Git. The ideal applicant will have demonstrated experience creating and deploying data solutions on Azure data services and Databricks, as well as a good understanding of data architecture principles.
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data quality jobs Title: commissioning in Texas
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