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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Expertise developing and maintaining data catalog tools and technologies, such as metadata management systems, data cataloging platforms, and data lineage tools. Experience with Master Data Management (MDM) concept, tools and practices.
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Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow.
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Data visualization (e.g. Tableau, Looker, MicroStrategy) Data mining/programming tools (e.g. SAS, SQL, R, Python) Remote Lead Data Engineer needs 7+ years experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales.
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Job DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Reporting to the Senior Vice President of Partnerships & Impact, the CRM & Data Insights Director will be at the forefront of driving innovation and impact in solving the world's most critical challenges through data collection and analytics.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance.
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We are currently seeking a Cybersecurity Data Security Engineer for a contract position with our client in Austin, Texas. Synapse/Purview/Data Lake/Private Endpoints/Event Hubs/Snowflake/Data Factory.
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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
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Strong experience with data systems and infrastructure on Azure, especially Azure Data Factory (ADF) and Databricks. Knowledge of Azure Synapse Analytics, Azure Data Lake, CosmosDB, Azure SQL, Azure Databricks or equivalent tools and technologies.
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Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform and visualization tools (Python, R, SQL, Spark, Hive, Tableau etc.
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Title: data in Dallas, TX
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