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Experience creating of interactive data visualization with any the following platforms Power BI, Tableau, SAC. Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring using tools like Qlik Compose, DBT.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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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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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. This Data Integration/ETL Engineer will be working closely with a diverse team from different departments and functions, spanning locations in both Dallas and India.
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Looking for a Data Engineer with SQL, Python, ADF, Databricks, Kafka and ideally Snowflake experience to work 100% remote. Data Engineer - REMOTE WORK - 56813. Data Engineer to develop CI/D data pipelines and ETL processes to curate and transform pharmacy data from different sources (both on premise and cloud.
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Lead Azure Data Engineer. Should have in depth knowledge on Azure Data Factory, Databricks, SSIS, Azure Functions, Logic Apps, Azure Event Hubs, PySpark, Spark Streaming, ADLS Gen2, Azure Blob, Azure Synapse, Azure SQL, SQL Server and good working knowledge on Tableau.
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Annalect is currently seeking a data engineer to join our technology team. services that are used for data processing e.g. Glue, Dataflow, Data Factory, EMR, Dataproc, HDInsights , Athena, Redshift, BigQuery etc.
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Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate or equivalent certification(s). The Data Solutions Engineer is a member of the Enterprise Data Enablement team reporting to the Sr. Director, Enterprise Data Enablement.
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In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
$128,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Resource should be in office 2 days per weekRequired Skills : Data WarehouseAdditional Skills : Data Engineer. Description:Designs, develops, and implements using the skillset Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, Basics of Azure, Knowledge of Data Lake, Data Warehouse concept, Knowledge of SQLs, creates design documents, and performs program coding and testing.
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Experience with the following tools and technologies: -Hadoop, Spark, Hive, Elastic Search -Experience with various database and big data -Google Cloud DataFlow, Apache Beam Ability to develop and write technical specifications.
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At least 8 years’ experience as a Data Engineer or similar role. Position Title: Sr. Data Engineer. Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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We are seeking a highly skilled Oracle Cloud Data Integration Engineer with significant experience in data engineering to join our dynamic team. Job Title: Sr Oracle Cloud Data Integration Engineer.
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The Data Engineer responsible for designing, developing, and maintaining data pipelines in support of data engineering and data management activities. The Data Engineer develops data solutions with moderate to high complexity that also have moderate to high business criticality.
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Title: data engineer in Dallas, Cody, Wyoming
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