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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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The Data Engineer should be an experienced hands-on Data Engineer that will be responsible for our enterprise data assets, work with our various business organizations to develop timely and useful data pipelines and data lake storage and provide expertise and best practice designs and ways of working for business groups reuse.
$141,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino. Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements.
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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Hands on in Databricks SQL PySpark Expertise in data modelling data mappings understand the data model changes and propose the best practices and guidelines. Sr. Azure Data Engineer Lead DataBricks ADF Medallion Architecture As an Sr. Data Engineer Lead you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
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Data Governance: Knowledge of creating data lineage, developing metadata and developing data quality standards for the group. Understanding of data governance frameworks, policies, and best practices to ensure data quality, integrity, and compliance.
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The Principal Data Engineer role will develop standards, guidelines, and direction for data modeling and standardization that will directly contribute to enhancing the quality of patient care and developing innovative medical devices and therapy solutions.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in BI and data warehousing principles including data modeling, data quality, extract/transform/load process as they apply to data preparation for BI/ Analytic solutions.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Warehousing (e.g., AWS Redshift, Google BigQuery) Apache Hadoop or Apache Spark (for big data processing) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Hands-on experience with big data processing frameworks, such as Apache Spark. Expert Knowledge of data, master data and metadata related standards, processes and technology Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools Demonstrated experience in data management & data governance capabilities Familiarity with data warehousing principles and best practices.
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Hands-on experience implementing metadata management and data quality solutions to manage data assets in complex organizations is required. Designing, developing, testing and implementing solutions for the data management functions including metadata, master data and data quality management, with SQL, C#, Power BI, Azure Data Factory, Logic Apps, Event Hub and other vendor platforms.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Preferred areas of research focus include data integration, data quality, clinical informatics, and areas at the intersection of data, clinical expertise and computational methods.
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hands data quality jobs Title: senior data engineer Company: S P Global in Chicago, IL
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