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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
$154,400 - $273,200Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in utilizing PIM systems and related technologies, such as master data management (MDM), data integration, and data transformation. Data in the PIM system will be distributed to B2B/B2C e-commerce applications as well as the backend ERP system.
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Lightning Connect to call an external API A good understanding of OAUTH2, caching, future calls, Outlook integration, CICD pipeline, modern IDEs, SCM tools (Git, SVN), HTML, CSS, JavaScript, Salesforce DX It's good to have Azure DevOps, databases, data modeling, and SQL. An ability to develop reports, dashboards, and processes to monitor data quality and integrity.
TemporaryExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in developing and deploying custom SAP UI5 applications using SAP Cloud Platform, Web IDE and developing applications with consumption of ODATA services Understanding SAP to MQ integration & Kafka and solving issues in the data transfers between disparate systems.
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The architect will assist our clients in defining Data Management solutions based on the capabilities of data integration, data quality, master data management and project level data governance.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio) Leverage CI/CD framework for data integration, Open Source.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholdersFamiliarity with latest trends in data engineering and data management (APIs, data virtualization, stream data integration, augmented data integration.
$87,000 - $115,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Oversee the ingestion of data into Snowflake, employing tools like Fivetran as the data integration platform, and facilitate the operation of this data through dbt and Looker.
$115,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. Hands-on experience with DataBricks for building and optimizing data pipelines.
$55 - $60 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Role: A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Northwestern Memorial Hospital enjoys a teaching and service partnership with Northwestern University Feinberg School of Medicine, an integration that provides patients access to leading-edge clinical trials and fosters an environment of world-class patient care, academic inquiry and innovative research.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience and knowledge of data warehousing, data engineering, data integration, data manipulation, data analysis, ETL processes, BI concepts and proficiency in SQL, python, and/or pyspark are a plus.
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Minimum of 4+ years of experience using data manipulation tools such as SAS, SQL, R, or Python, Business Objects, or other tools to query large databases and manipulate large data files.
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teradata data integration jobs in Chicago, IL
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